DetDiffusion: Synergizing generative and perceptive models for enhanced data generation and perception

Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation

Gaining wisdom from setbacks: Aligning large language models via mistake analysis

Gaussian shell maps for efficient 3D human generation

GeoDiffusion: Text-prompted geometric control for object detection data generation

Learning High-Resolution Vector Representation from Multi-camera Images for 3D Object Detection

MagicDrive: Street view generation with diverse 3D geometry control

Pre-train and Refine: Towards Higher Efficiency in K-Agnostic Community Detection without Quality Degradation

Rethinking targeted adversarial attacks for neural machine translation

A Survey of Automated Data Augmentation for Image Classification: Learning to Compose, Mix, and Generate

High-Quality Temporal Link Prediction for Weighted Dynamic Graphs Via Inductive Embedding Aggregation

Temporal Link Prediction: A Unified Framework, Taxonomy, and Review

Towards a Better Tradeoff between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs

Adaptive online replanning with diffusion models

CLIP²: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data

Detection recovery in online multi-object tracking with sparse graph tracker

ILA-DA: Improving transferability of intermediate level attack with data augmentation

Learning 3D-Aware Image Synthesis with Unknown Pose Distribution

Mixed Autoencoder for Self-supervised Visual Representation Learning

SongRewriter: A Chinese Song Rewriting System with Controllable Content and Rhyme Scheme

SVQNet: Sparse voxel-adjacent query network for 4D spatio-temporal LiDAR semantic segmentation

Towards general error diagnosis via behavioral testing in machine translation

Towards Reference-free Text Simplification Evaluation with a BERT Siamese Network Architecture

The United States COVID-19 Forecast Hub dataset

3D-Aware Indoor Scene Synthesis with Depth Priors

AdaAug: Learning class- and instance-adaptive data augmentation policies

CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving

Controlled text generation using dictionary prior in variational autoencoders

Earthformer: Exploring space-time transformers for earth system forecasting

Improving 3D-aware image synthesis with a geometry-aware discriminator

Probabilistic Continuous-Time Whole-Graph Forecasting

Deep learning and the weather forecasting problem -- precipitation nowcasting

Clickstream Knowledge Tracing: Modeling How Students Answer Interactive Online Questions

MODALS: Modality-agnostic automated data augmentation in the latent space

MultiSiam: Self-supervised multi-instance siamese representation learning for autonomous driving

Probing Toxic Content in Large Pre-trained Language Models

Stereo Waterdrop Removal with Row-wise Dilated Attention

A Survey on Bayesian Deep Learning

Comparative Evaluation of Label-Agnostic Selection Bias in Multilingual Hate Speech Datasets

Learning Accurate Objectness Instance Segmentation from Photorealistic Rendering for Robotic Manipulation

Incorporating features learned by an enhanced deep knowledge tracing model for STEM/non-STEM job prediction

Point-Cloud-Based Place Recognition Using CNN Feature Extraction

Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses

Knowledge Query Network for Knowledge Tracing: How Knowledge Interacts With Skills

Marginalized Average Attentional Network for Weakly-supervised Learning

Multilingual and Multi-Aspect Hate Speech Analysis

Semi-semantic Line-Cluster Assisted Monocular SLAM for Indoor Environments

Addressing Two Problems in Deep Knowledge Tracing via Prediction-Consistent Regularization

GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

Incorporating features learned by an enhanced deep knowledge tracing model for STEM/non-STEM job prediction

Learning unmanned aerial vehicle control for autonomous target following

Fine-grained categorization via CNN-based automatic extraction and integration of object-level and part-level features

Deep Learning for Precipitation Nowcasting: A Benchmark and a New Model

Dynamic Key-Value Memory Networks for Knowledge Tracing

Gesture-based piloting of an aerial robot using monocular vision

Lattice long short-term memory for human action recognition

Relational Deep Learning: a Deep Latent Variable Model for Link Prediction

Sparse Boltzmann Machines With Structure Learning as Applied to Text Analysis

Spatiotemporal Modeling for Crowd Counting in Videos

Temporal dynamic graph LSTM for action-driven video object detection

Visual Object Tracking for Unmanned Aerial Vehicles: a Benchmark and New Motion Models

Spectral Multimodal Hashing and Its Application to Multimedia Retrieval

Towards Bayesian Deep Learning: A Framework and Some Existing Methods

Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks

Natural parameter networks: a class of probabilistic neural networks

Natural-Parameter Networks: A Class of Probabilistic Neural Networks

The Visual Object Tracking VOT2016 Challenge Results

Instance-Specific Canonical Correlation Analysis

Bayesian Adaptive Matrix Factorization with Automatic Model Selection

Collaborative Deep Learning for Recommender Systems

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

DevNet: A Deep Event Network for Multimedia Event Detection and Evidence Recounting

Human Action Recognition Using Factorized Spatio-temporal Convolutional Networks

Probabilistic Graphical Models for Boosting Cardinal and Ordinal Peer Grading in MOOCs

Relational stacked denoising autoencoder for tag recommendation

Temporal Models for Predicting Student Dropout in Massive Open Online Courses

The Visual Object Tracking VOT2015 Challenge Results

Understanding and Diagnosing Visual Tracking Systems

A Regularization Approach to Learning Task Relationships in Multitask Learning

Multicategory large margin classification methods: Hinge losses vs. coherence functions

Semiparametric preference learning

Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data

Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data

Active Hashing and Its Application to Image and Text Retrieval

Multilabel Relationship Learning

Bayesian robust matrix factorization for image and video processing

Learning a deep compact image representation for visual tracking

Learning High-order Task Relationships in Multi-task Learning

Online robust non-negative dictionary learning for visual tracking

SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering

Solution Path for Manifold Regularized Semisupervised Classification

Transfer Metric Learning With Semi-supervised Extension

A probabilistic approach to robust matrix factorization

A probabilistic model for multimodal hash function learning

Co-Regularized Hashing for Multimodal Data

Multi-task Boosting by Exploiting Task Relationships

Overlapping Community Detection via Bounded Nonnegative Matrix Tri-factorization

Sparse probabilistic relational projection

Supervised Probabilistic Robust Embedding With Sparse Noise

Semisupervised Generalized Discriminant Analysis

A convex formulation of modularity maximization for community detection

Discriminative Experimental Design

Generalized latent factor models for social network analysis

Multi-task Learning in Heterogeneous Feature Spaces

Social relations model for collaborative filtering

A regularization framework for multiclass classification: A deterministic annealing approach

MILD: Multiple-Instance Learning via Disambiguation

A Convex Formulation for Learning Task Relationships in Multi-task Learning

Adaptive Transfer Learning

Gaussian process latent random field

Multi-domain Collaborative Filtering

Multi-task Learning Using Generalized t Process

Multi-task Warped Gaussian Process for Personalized Age Estimation

Probabilistic Multi-task Feature Selection

SED: Supervised experimental design and its application to text classification

Transductive Learning on Adaptive Graphs

Transfer Metric Learning by Learning Task Relationships

Worst-case Linear Discriminant Analysis

Learning Inverse Dynamics by Gaussian Process Regression Under the Multi-task Learning Framework

Coherence functions for multicategory margin-based classification methods

Coherence functions for multicategory margin-based classification methods

Heteroscedastic Probabilistic Linear Discriminant Analysis With Semi-supervised Extension

Latent Wishart processes for relational kernel learning

Latent Wishart Processes for Relational Kernel Learning

Localized content-based image retrieval through evidence region identification

Probabilistic relational PCA

Relation Regularized Matrix Factorization

Semi-supervised Multi-task Regression

TagiCoFi: Tag informed collaborative filtering

A New Solution Path Algorithm in Support Vector Regression

A Scalable Kernel-Based Semisupervised Metric Learning Algorithm with Out-of-Sample Generalization Ability

Robust path-based spectral clustering

Sliced coordinate analysis for effective dimension reduction and nonlinear extensions

Human action recognition using local spatio-temporal discriminant embedding

Learning two-view stereo matching

Learning Two-View Stereo Matching

Posterior consistency of the Silverman g-prior in Bayesian model choice

Semi-Supervised Discriminant Analysis using robust path-based similarity

Semi-supervised Discriminant Analysis via CCCP

Structuring visual words in 3D for arbitrary-view object localization

A kernel approach for semisupervised metric learning

Face recognition using a kernel fractional-step discriminant analysis algorithm

Kernel-based distance metric learning for content-based image retrieval

Learning the kernel matrix by maximizing a KFD-based class separability criterion

Pulsing RoQ DDoS attack and defense scheme in mobile ad hoc networks

Surrogate Maximization/Minimization Algorithms and Extensions

A kernel path algorithm for support vector machines

A learning approach to spam detection based on social networks

A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning

Boosting Kernel Discriminant Analysis and Its Application to Tissue Classification of Gene Expression Data

Image hallucination using neighbor embedding over visual primitive manifolds

Kernel selection forl semi-supervised kernel machines

Locally smooth metric learning with application to image retrieval

Semi-supervised cast indexing for feature-length films

Surrogate maximization/minimization algorithms and extensions

The kernel path in kernelized LASSO

Extending kernel Fisher discriminant analysis with the weighted pairwise Chernoff criterion

Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints

Intrusion detection routers: Design, implementation. and evaluation using an experimental testbed

Locally linear metric adaptation with application to semi-supervised clustering and image retrieval

Model-based transductive learning of the kernel matrix

Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval

Robust locally linear embedding

TCP performance evaluation over AODV and DSDV in RW and SN mobility models

Throttling spoofed SYN flooding traffic at the source

Structural, Syntactic and Statistical Pattern Recognition: Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Hong Kong, China, August 17-19, 2006: proceedings

A coordinated detection and response scheme for distributed denial-of-service attacks

A manifold regularization approach to calibration reduction for sensor-network based tracking

Defending against TCP SYN flooding attacks under different types of IP spoofing

Face recognition with image sets using hierarchically extracted exemplars from appearance manifolds

Facial Expression Recognition using Advanced Local Binary Patterns, Tsallis Entropies and Global Appearance Features

Graph Laplacian kernels for object classification from a single example

Kernel-based metric adaptation with pairwise constraints

Local discriminant embedding with tensor representation

Locally linear models on face appearance manifolds with application to dual-subspace based classification

Solution path for semi-supervised classification with manifold regularization

Tensor embedding methods

Two-dimensional solution path for support vector regression

Nonlinear dimensionality reduction for classification using kernel weighted subspace method

Nonlinear dimensionality reduction for classification using kernel weighted subspace method

Robust path-based spectral clustering with application to image segmentation

Semisupervised metric learning by kernel matrix adaptation

Stepwise metric adaptation based on semi-supervised learning for boosting image retrieval performance

Special issue on deformable models for image analysis and pattern recognition

SVC2004: First international signature verification competition

Time series clustering with ARMA mixtures

Bayesian inference for transductive learning of kernel matrix using the tanner-wong data augmentation algorithm

Bayesian inference on principal component analysis using reversible jump markov chain Monte Carlo

IDR: An intrusion detection router for defending against Distributed Denial-of-Service (DDoS) attacks

Locally linear metric adaptation for semi-supervised clustering

Reinforcement learning in episodic non-stationary markovian environments

Super-resolution through neighbor embedding

Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model

Host-based intrusion detection using dynamic and static behavioral models

Parametric distance metric learning with label information

Bidirectional deformable matching with application to handwritten character extraction

On deformable models for visual pattern recognition

Mixtures of ARMA models for model-based time series clustering

Multi-model approach to non-stationary reinforcement learning

Parzen-window network intrusion detectors

User profiling for intrusion detection using dynamic and static behavioral models

Error detection, error correction and performance evaluation in on-line mathematical expression recognition

Hidden-mode Markov decision processes for nonstationary sequential decision making

PenCalc: A novel application of on-line mathematical expression recognition technology

Solving hidden-mode Markov decision problems

An efficient syntactic approach to structural analysis of on-line handwritten mathematical expressions

Mathematical expression recognition: a survey

An environment model for nonstationary reinforcement learning

An Environment Model for Nonstationary Reinforcement Learning

Recognizing on-line handwritten alphanumeric characters through flexible structural matching

A simple yet robust structural approach for on-line handwritten alphanumeric character recognition

Robust deformable matching for character extraction

Bidirectional Matching Algorithm for Deformable Pattern Detection with Application to Handwritten Word Retrieval

Hidden-mode Markov decision processes

A Bayesian framework for deformable pattern recognition with application to handwritten character recognition

Theoretical Aspects of Neural Computation: A Multidisciplinary Perspective - International Workshop (TANC'97) Hong Kong, 26-28 May 1997

A simple yet robust structural approach for recognizing on-line handwritten alphanumeric characters

Elastic structural matching for on-line handwritten alphanumeric character recognition

Towards Efficient Structural Analysis of Mathematical Expressions

Constructive algorithms for structure learning in feedforward neural networks for regression problems

Objective functions for training new hidden units in constructive neural networks

On-line handwritten alphanumeric character recognition using dominant points in strokes

Use of bias term in projection pursuit learning improves approximation and convergence properties

Bayesian regularization in constructive neural networks

Competitive Mixture of Deformable Models for Pattern Classification

Predictive Q-routing: A memory-based reinforcement learning approach to adaptive traffic control

Recognition of handwritten digits using deformable model

Reference priors for neural networks: Laplace versus Gaussian

Chinese glyph generation using character composition and beauty evaluation metrics

IMPROVING THE APPROXIMATION AND CONVERGENCE CAPABILITIES OF PROJECTION PURSUIT LEARNING

A learning model for the selection of problem-solving strategies in continuous physical systems

A grammatical inference approach to on-line handwriting modeling and recognition: A pilot study

A HYBRID EXPERT SYSTEM FOR ERROR MESSAGE CLASSIFICATION

A unified framework for handwritten character recognition using deformable models

Efficient Cross-Validation for Feedforward Neural Networks

On-line handwritten alphanumeric character recognition using feature sequences

A theoretically sound learning algorithm for constructive neural networks

Constructive Neural Networks : Some Practical Considerations

Gabriel networks: Self-organizing neural networks for adaptive vector quantization

CONSTRUCTIVE NEURAL NETWORKS AS ESTIMATORS OF BAYESIAN DISCRIMINANT FUNCTIONS

On Reducing Learning Time in Context-Dependent Mappings

Experimental Analysis Of Input Weight Freezing In Constructive Neural Networks

Automatic determination of network size for supervised learning

A NEURAL-NETWORK APPROACH TO CONSTRUCTIVE INDUCTION

Using a context-sensitive learning network for robot arm control

A learning model for the selection of problem solving strategies in continuous physical system

Adaptive load balancing between mobile robots through learning in an artificial neural system

Game-theoretic interaction among stochastic learning networks for adaptive load balancing

Supervised learning of action probabilities in associative reinforcement learning

Context-free classification of Mandarin unvoiced initials

A decentralized approach to the motion planning problem for multiple mobile robots

Coordinating multiple mobile robots for materials handling

Context-free classification of unvoiced consonants

Identification of unaspirated plosives using integrated temporal and spectral features in dynamic representation as acoustic cues

Addressing Two Problems in Deep Knowledge Tracing via Prediction-Consistent Regularization

Conference paper

GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

Conference paper

Incorporating features learned by an enhanced deep knowledge tracing model for STEM/non-STEM job prediction

Conference paper

Learning unmanned aerial vehicle control for autonomous target following

Conference paper

Fine-grained categorization via CNN-based automatic extraction and integration of object-level and part-level features

Article

Deep Learning for Precipitation Nowcasting: A Benchmark and a New Model

Conference paper

Dynamic Key-Value Memory Networks for Knowledge Tracing

Conference paper

Gesture-based piloting of an aerial robot using monocular vision

Conference paper

Lattice long short-term memory for human action recognition

Conference paper

Relational Deep Learning: a Deep Latent Variable Model for Link Prediction

Conference paper

Sparse Boltzmann Machines With Structure Learning as Applied to Text Analysis

Conference paper

Spatiotemporal Modeling for Crowd Counting in Videos

Conference paper

Temporal dynamic graph LSTM for action-driven video object detection

Conference paper

Visual Object Tracking for Unmanned Aerial Vehicles: a Benchmark and New Motion Models

Conference paper

Spectral Multimodal Hashing and Its Application to Multimedia Retrieval

Article

Towards Bayesian Deep Learning: A Framework and Some Existing Methods

Article

Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks

Conference paper

Natural parameter networks: a class of probabilistic neural networks

Conference paper

Natural-Parameter Networks: A Class of Probabilistic Neural Networks

Conference paper

The Visual Object Tracking VOT2016 Challenge Results

Conference paper

Instance-Specific Canonical Correlation Analysis

Article

Bayesian Adaptive Matrix Factorization with Automatic Model Selection

Conference paper

Collaborative Deep Learning for Recommender Systems

Conference paper

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

Conference paper

DevNet: A Deep Event Network for Multimedia Event Detection and Evidence Recounting

Conference paper

Human Action Recognition Using Factorized Spatio-temporal Convolutional Networks

Conference paper

Probabilistic Graphical Models for Boosting Cardinal and Ordinal Peer Grading in MOOCs

Conference paper

Relational stacked denoising autoencoder for tag recommendation

Conference paper

Temporal Models for Predicting Student Dropout in Massive Open Online Courses

Conference paper

The Visual Object Tracking VOT2015 Challenge Results

Conference paper

Understanding and Diagnosing Visual Tracking Systems

Conference paper

A Regularization Approach to Learning Task Relationships in Multitask Learning

Article

Multicategory large margin classification methods: Hinge losses vs. coherence functions

Article

Semiparametric preference learning

Article

Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data

Conference paper

Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data

Conference paper

Active Hashing and Its Application to Image and Text Retrieval

Article

Multilabel Relationship Learning

Article

Bayesian robust matrix factorization for image and video processing

Conference paper

Learning a deep compact image representation for visual tracking

Conference paper

Learning High-order Task Relationships in Multi-task Learning

Conference paper

Online robust non-negative dictionary learning for visual tracking

Conference paper

SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering

Conference paper

Solution Path for Manifold Regularized Semisupervised Classification

Article

Transfer Metric Learning With Semi-supervised Extension

Article

A probabilistic approach to robust matrix factorization

Conference paper

A probabilistic model for multimodal hash function learning

Conference paper

Co-Regularized Hashing for Multimodal Data

Conference paper

Multi-task Boosting by Exploiting Task Relationships

Conference paper

Overlapping Community Detection via Bounded Nonnegative Matrix Tri-factorization

Conference paper

Sparse probabilistic relational projection

Conference paper

Supervised Probabilistic Robust Embedding With Sparse Noise

Conference paper

Semisupervised Generalized Discriminant Analysis

Article

A convex formulation of modularity maximization for community detection

Conference paper

Discriminative Experimental Design

Conference paper

Generalized latent factor models for social network analysis

Conference paper

Multi-task Learning in Heterogeneous Feature Spaces

Conference paper

Social relations model for collaborative filtering

Conference paper

A regularization framework for multiclass classification: A deterministic annealing approach

Article

MILD: Multiple-Instance Learning via Disambiguation

Article

A Convex Formulation for Learning Task Relationships in Multi-task Learning

Conference paper

Adaptive Transfer Learning

Conference paper

Gaussian process latent random field

Conference paper

Multi-domain Collaborative Filtering

Conference paper

Multi-task Learning Using Generalized t Process

Conference paper

Multi-task Warped Gaussian Process for Personalized Age Estimation

Conference paper

Probabilistic Multi-task Feature Selection

Conference paper

SED: Supervised experimental design and its application to text classification

Conference paper

Transductive Learning on Adaptive Graphs

Conference paper

Transfer Metric Learning by Learning Task Relationships

Conference paper

Worst-case Linear Discriminant Analysis

Conference paper

Learning Inverse Dynamics by Gaussian Process Regression Under the Multi-task Learning Framework

Book chapter

Coherence functions for multicategory margin-based classification methods

Conference paper

Coherence functions for multicategory margin-based classification methods

Conference paper

Heteroscedastic Probabilistic Linear Discriminant Analysis With Semi-supervised Extension

Conference paper

Latent Wishart processes for relational kernel learning

Conference paper

Latent Wishart Processes for Relational Kernel Learning

Conference paper

Localized content-based image retrieval through evidence region identification

Conference paper

Probabilistic relational PCA

Conference paper

Relation Regularized Matrix Factorization

Conference paper

Semi-supervised Multi-task Regression

Conference paper

TagiCoFi: Tag informed collaborative filtering

Conference paper

A New Solution Path Algorithm in Support Vector Regression

Article

A Scalable Kernel-Based Semisupervised Metric Learning Algorithm with Out-of-Sample Generalization Ability

Article

Robust path-based spectral clustering

Article

Sliced coordinate analysis for effective dimension reduction and nonlinear extensions

Article

Human action recognition using local spatio-temporal discriminant embedding

Conference paper

Learning two-view stereo matching

Conference paper

Learning Two-View Stereo Matching

Conference paper

Posterior consistency of the Silverman g-prior in Bayesian model choice

Conference paper

Semi-Supervised Discriminant Analysis using robust path-based similarity

Conference paper

Semi-supervised Discriminant Analysis via CCCP

Conference paper

Structuring visual words in 3D for arbitrary-view object localization

Conference paper

A kernel approach for semisupervised metric learning

Article

Face recognition using a kernel fractional-step discriminant analysis algorithm

Article

Kernel-based distance metric learning for content-based image retrieval

Article

Learning the kernel matrix by maximizing a KFD-based class separability criterion

Article

Pulsing RoQ DDoS attack and defense scheme in mobile ad hoc networks

Article

Surrogate Maximization/Minimization Algorithms and Extensions

Article

A kernel path algorithm for support vector machines

Conference paper

A learning approach to spam detection based on social networks

Conference paper

A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning

Conference paper

Boosting Kernel Discriminant Analysis and Its Application to Tissue Classification of Gene Expression Data

Conference paper

Image hallucination using neighbor embedding over visual primitive manifolds

Conference paper

Kernel selection forl semi-supervised kernel machines

Conference paper

Locally smooth metric learning with application to image retrieval

Conference paper

Semi-supervised cast indexing for feature-length films

Conference paper

Surrogate maximization/minimization algorithms and extensions

Conference paper

The kernel path in kernelized LASSO

Conference paper

Extending kernel Fisher discriminant analysis with the weighted pairwise Chernoff criterion

Article

Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints

Article

Intrusion detection routers: Design, implementation. and evaluation using an experimental testbed

Article

Locally linear metric adaptation with application to semi-supervised clustering and image retrieval

Article

Model-based transductive learning of the kernel matrix

Article

Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval

Article

Robust locally linear embedding

Article

TCP performance evaluation over AODV and DSDV in RW and SN mobility models

Article

Throttling spoofed SYN flooding traffic at the source

Article

Structural, Syntactic and Statistical Pattern Recognition: Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Hong Kong, China, August 17-19, 2006: proceedings

Book

A coordinated detection and response scheme for distributed denial-of-service attacks

Conference paper

A manifold regularization approach to calibration reduction for sensor-network based tracking

Conference paper

Defending against TCP SYN flooding attacks under different types of IP spoofing

Conference paper

Face recognition with image sets using hierarchically extracted exemplars from appearance manifolds

Conference paper

Facial Expression Recognition using Advanced Local Binary Patterns, Tsallis Entropies and Global Appearance Features

Conference paper

Graph Laplacian kernels for object classification from a single example

Conference paper

Kernel-based metric adaptation with pairwise constraints

Conference paper

Local discriminant embedding with tensor representation

Conference paper

Locally linear models on face appearance manifolds with application to dual-subspace based classification

Conference paper

Solution path for semi-supervised classification with manifold regularization

Conference paper

Tensor embedding methods

Conference paper

Two-dimensional solution path for support vector regression

Conference paper

Nonlinear dimensionality reduction for classification using kernel weighted subspace method

Conference paper

Nonlinear dimensionality reduction for classification using kernel weighted subspace method

Conference paper

Robust path-based spectral clustering with application to image segmentation

Conference paper

Semisupervised metric learning by kernel matrix adaptation

Conference paper

Stepwise metric adaptation based on semi-supervised learning for boosting image retrieval performance

Conference paper

Special issue on deformable models for image analysis and pattern recognition

Article

SVC2004: First international signature verification competition

Article

Time series clustering with ARMA mixtures

Article

Bayesian inference for transductive learning of kernel matrix using the tanner-wong data augmentation algorithm

Conference paper

Bayesian inference on principal component analysis using reversible jump markov chain Monte Carlo

Conference paper

IDR: An intrusion detection router for defending against Distributed Denial-of-Service (DDoS) attacks

Conference paper

Locally linear metric adaptation for semi-supervised clustering

Conference paper

Reinforcement learning in episodic non-stationary markovian environments

Conference paper

Super-resolution through neighbor embedding

Conference paper

Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model

Conference paper

Host-based intrusion detection using dynamic and static behavioral models

Article

Parametric distance metric learning with label information

Conference paper

Bidirectional deformable matching with application to handwritten character extraction

Article

On deformable models for visual pattern recognition

Article

Mixtures of ARMA models for model-based time series clustering

Conference paper

Multi-model approach to non-stationary reinforcement learning

Conference paper

Parzen-window network intrusion detectors

Conference paper

User profiling for intrusion detection using dynamic and static behavioral models

Conference paper

Error detection, error correction and performance evaluation in on-line mathematical expression recognition

Article

Hidden-mode Markov decision processes for nonstationary sequential decision making

Book chapter

PenCalc: A novel application of on-line mathematical expression recognition technology

Conference paper

Solving hidden-mode Markov decision problems

Conference paper

An efficient syntactic approach to structural analysis of on-line handwritten mathematical expressions

Article

Mathematical expression recognition: a survey

Article

An environment model for nonstationary reinforcement learning

Conference paper

An Environment Model for Nonstationary Reinforcement Learning

Conference paper

Recognizing on-line handwritten alphanumeric characters through flexible structural matching

Article

A simple yet robust structural approach for on-line handwritten alphanumeric character recognition

Book chapter

Robust deformable matching for character extraction

Book chapter

Bidirectional Matching Algorithm for Deformable Pattern Detection with Application to Handwritten Word Retrieval

Conference paper

Hidden-mode Markov decision processes

Conference paper

A Bayesian framework for deformable pattern recognition with application to handwritten character recognition

Article

Theoretical Aspects of Neural Computation: A Multidisciplinary Perspective - International Workshop (TANC'97) Hong Kong, 26-28 May 1997

Book

A simple yet robust structural approach for recognizing on-line handwritten alphanumeric characters

Conference paper

Elastic structural matching for on-line handwritten alphanumeric character recognition

Conference paper

Towards Efficient Structural Analysis of Mathematical Expressions

Conference paper

Constructive algorithms for structure learning in feedforward neural networks for regression problems

Article

Objective functions for training new hidden units in constructive neural networks

Article

On-line handwritten alphanumeric character recognition using dominant points in strokes

Article

Use of bias term in projection pursuit learning improves approximation and convergence properties

Article

Bayesian regularization in constructive neural networks

Conference paper

Competitive Mixture of Deformable Models for Pattern Classification

Conference paper

Predictive Q-routing: A memory-based reinforcement learning approach to adaptive traffic control

Conference paper

Recognition of handwritten digits using deformable model

Conference paper

Reference priors for neural networks: Laplace versus Gaussian

Conference paper

Chinese glyph generation using character composition and beauty evaluation metrics

Article

IMPROVING THE APPROXIMATION AND CONVERGENCE CAPABILITIES OF PROJECTION PURSUIT LEARNING

Article

A learning model for the selection of problem-solving strategies in continuous physical systems

Book chapter

A grammatical inference approach to on-line handwriting modeling and recognition: A pilot study

Conference paper

A HYBRID EXPERT SYSTEM FOR ERROR MESSAGE CLASSIFICATION

Conference paper

A unified framework for handwritten character recognition using deformable models

Conference paper

Efficient Cross-Validation for Feedforward Neural Networks

Conference paper

On-line handwritten alphanumeric character recognition using feature sequences

Conference paper

A theoretically sound learning algorithm for constructive neural networks

Conference paper

Constructive Neural Networks : Some Practical Considerations

Conference paper

Gabriel networks: Self-organizing neural networks for adaptive vector quantization

Conference paper

CONSTRUCTIVE NEURAL NETWORKS AS ESTIMATORS OF BAYESIAN DISCRIMINANT FUNCTIONS

Article

On Reducing Learning Time in Context-Dependent Mappings

Article

Experimental Analysis Of Input Weight Freezing In Constructive Neural Networks

Conference paper

Automatic determination of network size for supervised learning

Conference paper

A NEURAL-NETWORK APPROACH TO CONSTRUCTIVE INDUCTION

Conference paper

Using a context-sensitive learning network for robot arm control

Conference paper

A learning model for the selection of problem solving strategies in continuous physical system

Conference paper

Adaptive load balancing between mobile robots through learning in an artificial neural system

Conference paper

Game-theoretic interaction among stochastic learning networks for adaptive load balancing

Conference paper

Supervised learning of action probabilities in associative reinforcement learning

Conference paper

Context-free classification of Mandarin unvoiced initials

Article

A decentralized approach to the motion planning problem for multiple mobile robots

Conference paper

Coordinating multiple mobile robots for materials handling

Conference paper

Context-free classification of unvoiced consonants

Conference paper

Identification of unaspirated plosives using integrated temporal and spectral features in dynamic representation as acoustic cues

Conference paper