Zhiwu Lu

Proceedings of the Uncertainty in Artificial Intelligence, 2023

CTDA: Contrastive Temporal Domain Adaptation for Action Segmentation.

[BibT_eX]

[DOI]

Hongfeng Han

Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

Binary Neural Network for Video Action Recognition.

[BibT_eX]

[DOI]

Hongfeng Han

Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

TikTalk: A Video-Based Dialogue Dataset for Multi-Modal Chitchat in Real World.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Shot Retrieval and Assembly with Text Script for Video Montage Generation.

[BibT_eX]

[DOI]

Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

Learning with Adaptive Knowledge for Continual Image-Text Modeling.

[BibT_eX]

[DOI]

Yutian Luo

Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

CMMT: Cross-Modal Meta-Transformer for Video-Text Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

DiST-GAN: Distillation-based Semantic Transfer for Text-Guided Face Generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Mixup-Inspired Video Class-Incremental Learning.

[BibT_eX]

[DOI]

Jinqiang Long

Proceedings of the IEEE International Conference on Data Mining, 2023

Task-Sensitive Discriminative Mutual Attention Network for Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

R-STAR: Robust Self-Taught Task-Wise Reweighting for Rehearsal-Based Class Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Song-to-Video Translation: Writing a Video from Song Lyrics Based on Multimodal Pre-training.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language.

[BibT_eX]

[DOI]

CoRR, 2022

Multimodal foundation models are better simulators of the human brain.

[BibT_eX]

[DOI]

CoRR, 2022

Supervised Contrastive Learning for Few-Shot Action Classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

LGDN: Language-Guided Denoising Network for Video-Language Modeling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms.

[BibT_eX]

[DOI]

Yong Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fast-Rate PAC-Bayesian Generalization Bounds for Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Task Relatedness-Based Generalization Bounds for Meta Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Versatile Neural Architectures by Propagating Network Codes.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Text2Poster: Laying Out Stylized Texts on Retrieved Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Visual Prompt Tuning for Few-Shot Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

SST-VLM: Sparse Sampling-Twice Inspired Video-Language Model.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2022, 2022

SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Variational Context: Exploiting Visual and Textual Context for Grounding Referring Expressions.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Zero and Few Shot Learning With Semantic Feature Synthesis and Competitive Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

WenLan 2.0: Make AI Imagine via a Multimodal Foundation Model.

[BibT_eX]

[DOI]

CoRR, 2021

Pre-Trained Models: Past, Present and Future.

[BibT_eX]

[DOI]

CoRR, 2021

WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training.

[BibT_eX]

[DOI]

CoRR, 2021

Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Pre-trained models: Past, present and future.

[BibT_eX]

[DOI]

AI Open, 2021

Domain-Adaptive Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Vid2Int: Detecting Implicit Intention from Long Dialog Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Contrastive prototype learning with augmented embeddings for few-shot learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Compressed Video Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Self-Supervised Video Representation Learning with Constrained Spatiotemporal Jigsaw.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Weakly-Supervised Attribute Segmentation.

[BibT_eX]

[DOI]

Guangzhen Liu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Complex Action Segmentation in Compressed Videos.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Z-Score Normalization, Hubness, and Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

L2M-GAN: Learning To Manipulate Latent Space Semantics for Facial Attribute Editing.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Counterfactual VQA: A Cause-Effect Look at Language Bias.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

HR-NAS: Searching Efficient High-Resolution Neural Architectures With Lightweight Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

A Global Occlusion-Aware Approach to Self-Supervised Monocular Visual Odometry.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2020

Margin-Based Transfer Bounds for Meta Learning with Deep Feature Embedding.

[BibT_eX]

[DOI]

Tao Xiang

Timothy M. Hospedales

CoRR, 2020

Domain-Adaptive Few-Shot Learning.

[BibT_eX]

[DOI]

CoRR, 2020

AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Discriminativeness-Preserved Domain Adaptation for Few-Shot Learning.

[BibT_eX]

[DOI]

Guangzhen Liu

IEEE Access, 2020

Lightweight Action Recognition in Compressed Videos.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Learning Depth-Guided Convolutions for Monocular 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Large-Scale Cross-Domain Few-Shot Learning.

[BibT_eX]

[DOI]

Manli Zhang

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Few-Shot Zero-Shot Learning: Knowledge Transfer with Less Supervision.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

Cross-domain mapping learning for transductive zero-shot learning.

[BibT_eX]

[DOI]

Mingyu Ding

Zhe Wang

Comput. Vis. Image Underst., 2019

Mobile Video Action Recognition.

[BibT_eX]

[DOI]

CoRR, 2019

Coarse-to-Fine Grained Classification.

[BibT_eX]

[DOI]

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Joint Projection and Subspace Learning for Zero-Shot Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Zero-Shot Learning with Few Seen Class Samples.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

RUM: Network Representation Learning Using Motifs.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Recursive Visual Attention in Visual Dialog.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Face-Focused Cross-Stream Network for Deception Detection in Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Large-Scale Sparse Learning From Noisy Tags for Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

Zero-Shot Learning with Sparse Attribute Propagation.

[BibT_eX]

[DOI]

CoRR, 2018

Domain-Invariant Projection Learning for Zero-Shot Recognition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

InsightGAN: Semi-Supervised Feature Learning with Generative Adversarial Network for Drug Abuse Detection.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Zero-Shot Learning with Superclasses.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 25th International Conference, 2018

DeepInsight: Multi-Task Multi-Scale Deep Learning for Mental Disorder Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2018, 2018

Extreme Reverse Projection Learning for Zero-Shot Recognition.

[BibT_eX]

[DOI]

An Zhao

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Zero-Shot Scene Classification for High Spatial Resolution Remote Sensing Images.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2017

Multi-instance dictionary learning via multivariate performance measure optimization.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

Learning from Weak and Noisy Labels for Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2017

RUM: network Representation learning throUgh Multi-level structural information preservation.

[BibT_eX]

[DOI]

CoRR, 2017

Zero-Shot Fine-Grained Classification by Deep Feature Learning with Semantics.

[BibT_eX]

[DOI]

CoRR, 2017

Graph-boosted convolutional neural networks for semantic segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Image classification by visual bag-of-words refinement and reduction.

[BibT_eX]

[DOI]

Neurocomputing, 2016

CMsearch: simultaneous exploration of protein sequence space and structure space improves not only protein homology detection but also protein structure prediction.

[BibT_eX]

[DOI]

Bioinform., 2016

Large Scale Sparse Clustering.

[BibT_eX]

[DOI]

Ruqi Zhang

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Segmentation with Selectively Propagated Constraints.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015

Semantic Sparse Recoding of Visual Content for Image Applications.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2015

Noise-robust semi-supervised learning via fast sparse coding.

[BibT_eX]

[DOI]

Pattern Recognit., 2015

Learning descriptive visual representation for image classification and annotation.

[BibT_eX]

[DOI]

Pattern Recognit., 2015

Local similarity learning for pairwise constraint propagation.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2015

Pairwise Constraint Propagation on Multi-View Data.

[BibT_eX]

[DOI]

CoRR, 2015

Pairwise Constraint Propagation: A Survey.

[BibT_eX]

[DOI]

Zhenyong Fu

CoRR, 2015

Community Based Spammer Detection in Social Networks.

[BibT_eX]

[DOI]

Proceedings of the Web-Age Information Management - 16th International Conference, 2015

Weakly Supervised Matrix Factorization for Noisily Tagged Image Parsing.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Social Image Parsing by Cross-Modal Data Refinement.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Noise-Robust Semi-Supervised Learning by Large-Scale Sparse Coding.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Spatial temporal pyramid matching using temporal sparse representation for human motion retrieval.

[BibT_eX]

[DOI]

Vis. Comput., 2014

Graph-based multimodal semi-supervised image classification.

[BibT_eX]

[DOI]

Neurocomputing, 2014

Can Image-Level Labels Replace Pixel-Level Labels for Image Parsing.

[BibT_eX]

[DOI]

CoRR, 2014

Direct Semantic Analysis for Social Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Latent semantic learning with structured sparse representation for human action recognition.

[BibT_eX]

[DOI]

Pattern Recognit., 2013

L<sub>1</sub>-graph construction using structured sparsity.

[BibT_eX]

[DOI]

Guangyao Zhou

Neurocomputing, 2013

Exhaustive and Efficient Constraint Propagation: A Graph-Based Learning Approach and Its Applications.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2013

Learning Descriptive Visual Representation by Semantic Regularized Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2013, 2013

Multimodal semi-supervised image classification by combining tag refinement, graph-based learning and support vector regression.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2013

Unified Constraint Propagation on Multi-View Data.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Image annotation by semantic sparse recoding of visual content.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Modalities consensus for multi-modal constraint propagation.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Heterogeneous Constraint Propagation with Constrained Sparse Representation.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011

Automatic Image Annotation Based on Generalized Relevance Models.

[BibT_eX]

[DOI]

J. Signal Process. Syst., 2011

Spatial Markov Kernels for Image Categorization and Annotation.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2011

Contextual Kernel and Spectral Methods for Learning the Semantics of Images.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2011

Combining multiple clusterings using fast simulated annealing.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2011

Robust Image Analysis by L1-Norm Semi-supervised Learning

[BibT_eX]

[DOI]

CoRR, 2011

Exhaustive and Efficient Constraint Propagation: A Semi-Supervised Learning Perspective and Its Applications

[BibT_eX]

[DOI]

CoRR, 2011

Combining latent semantic learning and reduced hypergraph learning for semi-supervised image categorization.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Multi-modal constraint propagation for heterogeneous image clustering.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Spectral learning of latent semantics for action recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2011

Latent Semantic Learning by Efficient Sparse Coding with Hypergraph Regularization.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Symmetric Graph Regularized Constraint Propagation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Combining Context, Consistency, and Diversity Cues for Interactive Image Categorization.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2010

Gaussian mixture learning via robust competitive agglomeration.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2010

Image categorization via robust pLSA.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2010

Action Recognition Based on Learnt Motion Semantic Vocabulary.

[BibT_eX]

[DOI]

Qiong Zhao

Proceedings of the Advances in Multimedia Information Processing - PCM 2010, 2010

Constrained Spectral Clustering via Exhaustive and Efficient Constraint Propagation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2010, 2010

2009

Generalized Competitive Learning of Gaussian Mixture Models.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2009

Generalized Relevance Models for Automatic Image Annotation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Multimedia Information Processing, 2009

Semantic concept annotation based on audio PLSA model.

[BibT_eX]

[DOI]

Jianguo Xiao

Proceedings of the 17th International Conference on Multimedia 2009, 2009

Image categorization by learning with context and consistency.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Image categorization with spatial mismatch kernels.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Context-based multi-label image annotation.

[BibT_eX]

[DOI]

Qizhen He

Proceedings of the 8th ACM International Conference on Image and Video Retrieval, 2009

View topics: automatically generated characteristic view for content-based 3D object retrieval.

[BibT_eX]

[DOI]

Qizhen He

Proceedings of the 8th ACM International Conference on Image and Video Retrieval, 2009

Image Categorization Based on a Hierarchical Spatial Markov Model.

[BibT_eX]

[DOI]

Lihua Wang

Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009

2008

A Semi-supervised Learning Algorithm on Gaussian Mixture with Automatic Model Selection.

[BibT_eX]

[DOI]

Neural Process. Lett., 2008

Unsupervised learning of finite mixtures using entropy regularization and its application to image segmentation.

[BibT_eX]

[DOI]

Jianguo Xiao

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

From Comparing Clusterings to Combining Clusterings.

[BibT_eX]

[DOI]

Jianguo Xiao

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

Entropy Regularized Likelihood Learning on Gaussian Mixture: Two Gradient Implementations for Automatic Model Selection.

[BibT_eX]

[DOI]

Neural Process. Lett., 2007

Entropy Regularization, Automatic Model Selection, and Unsupervised Image Segmentation.

[BibT_eX]

[DOI]

Zhiyuan Ye

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Unsupervised Image Categorization Using Constrained Entropy-Regularized Likelihood Learning with Pairwise Constraints.

[BibT_eX]

[DOI]

Zhiyuan Ye

Proceedings of the Advances in Neural Networks, 2007

Asymptotic Convergence Properties of Entropy Regularized Likelihood Learning on Finite Mixtures with Automatic Model Selection.

[BibT_eX]

[DOI]

Zhiyuan Ye

Proceedings of the Advances in Neural Networks, 2007

2006

A regularized minimum cross-entropy algorithm on mixtures of experts for time series prediction and curve detection.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2006

An iterative algorithm for entropy regularized likelihood learning on Gaussian mixture with automatic model selection.

[BibT_eX]

[DOI]

Neurocomputing, 2006

A Generalized Competitive Learning Algorithm on Gaussian Mixture with Automatic Model Selection.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006

A Publishing Framework for Digitally Augmented Paper Documents: Towards Cross-Media Information Integration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Multimedia Information Processing, 2006

A Gradient Entropy Regularized Likelihood Learning Algorithm on Gaussian Mixture with Automatic Model Selection.

[BibT_eX]

[DOI]

Jinwen Ma

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

A Regularized Minimum Cross-Entropy Algorithm on Mixtures of Experts for Time Series Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Unsupervised Image Segmentation Using an Iterative Entropy Regularized Likelihood Learning Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005

A Gradient BYY Harmony Learning Algorithm on Mixture of Experts for Curve Detection.

[BibT_eX]

[DOI]