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2020 – today
- 2025
[j12]Xiao Ma, Shen-Yi Zhao, Zhao-Heng Yin, Wu-Jun Li:
Clustered Reinforcement Learning. Frontiers Comput. Sci. 19(4): 194313 (2025)- [i53]Yu-Hao Huang, Chang Xu, Yueying Wu, Wu-Jun Li, Jiang Bian:
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts. CoRR abs/2501.05403 (2025) - 2024
- [j11]Chu-Xiao Zuo
, Jia-Yi Leng, Wu-Jun Li:
SUETA: Speaker-specific utterance ensemble based transfer attack on speaker identification system. Comput. Secur. 144: 103948 (2024) - [j10]Kai-Lang Yao, Wu-Jun Li:
Asymmetric Learning for Graph Neural Network based Link Prediction. ACM Trans. Knowl. Discov. Data 18(5): 106:1-106:18 (2024) - [c63]Yan-Shuo Liang, Wu-Jun Li:
InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning. CVPR 2024: 23638-23647 - [c62]Chu-Xiao Zuo, Zhi-Jun Jia, Wu-Jun Li:
AdvTTS: Adversarial Text-to-Speech Synthesis Attack on Speaker Identification Systems. ICASSP 2024: 4840-4844 - [c61]Yi-Rui Yang, Chang-Wei Shi, Wu-Jun Li:
On the Effect of Batch Size in Byzantine-Robust Distributed Learning. ICLR 2024 - [c60]Xiao Ma, Wu-Jun Li:
Weighting Online Decision Transformer with Episodic Memory for Offline-to-Online Reinforcement Learning. ICRA 2024: 10793-10799 - [c59]Chang-Wei Shi, Yi-Rui Yang, Wu-Jun Li:
Ordered Momentum for Asynchronous SGD. NeurIPS 2024 - [i52]Yan-Shuo Liang, Wu-Jun Li:
InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning. CoRR abs/2404.00228 (2024) - [i51]Huan-Yi Su, Ke Wu, Yu-Hao Huang, Wu-Jun Li:
NumLLM: Numeric-Sensitive Large Language Model for Chinese Finance. CoRR abs/2405.00566 (2024) - [i50]Wen-Pu Cai, Wu-Jun Li:
LCQ: Low-Rank Codebook based Quantization for Large Language Models. CoRR abs/2405.20973 (2024) - [i49]Kun Wang, Yi-Rui Yang, Wu-Jun Li:
Buffered Asynchronous Secure Aggregation for Cross-Device Federated Learning. CoRR abs/2406.03516 (2024) - [i48]Chang-Wei Shi, Yi-Rui Yang, Wu-Jun Li:
Ordered Momentum for Asynchronous SGD. CoRR abs/2407.19234 (2024) - [i47]Jin Han, Yun Hong, Wu-Jun Li:
Hashing based Contrastive Learning for Virtual Screening. CoRR abs/2407.19790 (2024) - [i46]Yu-Hao Huang, Chang Xu, Yang Liu, Weiqing Liu, Wu-Jun Li, Jiang Bian:
Controllable Financial Market Generation with Diffusion Guided Meta Agent. CoRR abs/2408.12991 (2024) - [i45]Jin Han, Wu-Jun Li:
Hashing for Protein Structure Similarity Search. CoRR abs/2411.08286 (2024) - 2023
- [j9]Yi-Rui Yang, Wu-Jun Li:
Buffered Asynchronous SGD for Byzantine Learning. J. Mach. Learn. Res. 24: 204:1-204:62 (2023) - [j8]Xiao Ma, Wu-Jun Li:
State-based episodic memory for multi-agent reinforcement learning. Mach. Learn. 112(12): 5163-5190 (2023) - [c58]Xiao Ma, Wu-Jun Li:
Grey-box Adversarial Attack on Communication in Multi-agent Reinforcement Learning. AAMAS 2023: 2448-2450 - [c57]Yan-Shuo Liang, Wu-Jun Li:
Adaptive Plasticity Improvement for Continual Learning. CVPR 2023: 7816-7825 - [c56]Kai-Lang Yao, Wu-Jun Li:
Context Sketching for Memory-efficient Graph Representation Learning. ICDM 2023: 738-747 - [c55]Chu-Xiao Zuo, Jia-Yi Leng, Wu-Jun Li:
Fooling Speaker Identification Systems with Adversarial Background Music. INTERSPEECH 2023: 3142-3146 - [c54]Yan-Shuo Liang, Wu-Jun Li:
Loss Decoupling for Task-Agnostic Continual Learning. NeurIPS 2023 - [i44]Kai-Lang Yao, Wu-Jun Li:
Asymmetric Learning for Graph Neural Network based Link Prediction. CoRR abs/2303.00170 (2023) - [i43]Yi-Rui Yang, Kun Wang, Wu-Jun Li:
FedREP: A Byzantine-Robust, Communication-Efficient and Privacy-Preserving Framework for Federated Learning. CoRR abs/2303.05206 (2023) - [i42]Yang-Fan Zhou, Kai-Lang Yao, Wu-Jun Li:
GNNFormer: A Graph-based Framework for Cytopathology Report Generation. CoRR abs/2303.09956 (2023) - [i41]Yi-Rui Yang, Chang-Wei Shi, Wu-Jun Li:
On the Optimal Batch Size for Byzantine-Robust Distributed Learning. CoRR abs/2305.13856 (2023) - [i40]Hao Lin, Ke Wu, Jun Li, Wu-Jun Li:
UniAP: Unifying Inter- and Intra-Layer Automatic Parallelism by Mixed Integer Quadratic Programming. CoRR abs/2307.16375 (2023) - 2022
- [c53]Jun Li, Wei Wang, Wu-Jun Li:
Hardware Computation Graph for DNN Accelerator Design Automation without Inter-PU Templates. ICCAD 2022: 47:1-47:9 - [c52]Zhao-Heng Yin, Lingfeng Sun, Hengbo Ma, Masayoshi Tomizuka, Wu-Jun Li:
Cross Domain Robot Imitation with Invariant Representation. ICRA 2022: 455-461 - [c51]Chu-Xiao Zuo, Jia-Yi Leng, Wu-Jun Li:
Speaker-Specific Utterance Ensemble based Transfer Attack on Speaker Identification. INTERSPEECH 2022: 3203-3207 - [c50]Xiaochen Cai, Hengxing Cai, Kele Xu, Wei-Wei Tu, Wu-Jun Li:
VSM: A Versatile Semi-supervised Model for Multi-modal Cell Instance Segmentation. Cell Segmentation Challenge @ NeurIPS 2022: 1-13 - [i39]Yan-Shuo Liang, Wu-Jun Li:
Optimizing Class Distribution in Memory for Multi-Label Online Continual Learning. CoRR abs/2209.11469 (2022) - 2021
- [j7]Shen-Yi Zhao, Yin-Peng Xie, Wu-Jun Li:
On the convergence and improvement of stochastic normalized gradient descent. Sci. China Inf. Sci. 64(3) (2021) - [c49]Ya-Qi Yu, Siqi Zheng, Hongbin Suo, Yun Lei, Wu-Jun Li:
Cam: Context-Aware Masking for Robust Speaker Verification. ICASSP 2021: 6703-6707 - [c48]Yi-Rui Yang, Wu-Jun Li:
BASGD: Buffered Asynchronous SGD for Byzantine Learning. ICML 2021: 11751-11761 - [c47]Kai-Lang Yao, Wu-Jun Li:
Blocking-based Neighbor Sampling for Large-scale Graph Neural Networks. IJCAI 2021: 3307-3313 - [i38]Zhao-Heng Yin, Lingfeng Sun, Hengbo Ma, Masayoshi Tomizuka, Wu-Jun Li:
Cross Domain Robot Imitation with Invariant Representation. CoRR abs/2109.05940 (2021) - [i37]Xiao Ma, Wu-Jun Li:
State-based Episodic Memory for Multi-Agent Reinforcement Learning. CoRR abs/2110.09817 (2021) - 2020
- [c46]Dong Xu, Wu-Jun Li:
Hashing Based Answer Selection. AAAI 2020: 9330-9337 - [c45]Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, Osamu Yoshie:
ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval. ECCV (3) 2020: 189-205 - [c44]Ya-Qi Yu, Wu-Jun Li:
Densely Connected Time Delay Neural Network for Speaker Verification. INTERSPEECH 2020: 921-925 - [c43]Kang Fang, Wu-Jun Li:
DMNet: Difference Minimization Network for Semi-supervised Segmentation in Medical Images. MICCAI (1) 2020: 532-541 - [i36]Shen-Yi Zhao, Yin-Peng Xie, Wu-Jun Li:
Stagewise Enlargement of Batch Size for SGD-based Learning. CoRR abs/2002.11601 (2020) - [i35]Yi-Rui Yang, Wu-Jun Li:
BASGD: Buffered Asynchronous SGD for Byzantine Learning. CoRR abs/2003.00937 (2020) - [i34]Zhao-Heng Yin, Wu-Jun Li:
TOMA: Topological Map Abstraction for Reinforcement Learning. CoRR abs/2005.06061 (2020) - [i33]Shen-Yi Zhao, Yin-Peng Xie, Wu-Jun Li:
Stochastic Normalized Gradient Descent with Momentum for Large Batch Training. CoRR abs/2007.13985 (2020) - [i32]Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, Osamu Yoshie:
ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval. CoRR abs/2008.01369 (2020) - [i31]Ming-Wei Li, Qing-Yuan Jiang, Wu-Jun Li:
Multiple Code Hashing for Efficient Image Retrieval. CoRR abs/2008.01503 (2020)
2010 – 2019
- 2019
- [j6]Luo Luo, Cheng Chen, Zhihua Zhang, Wu-Jun Li, Tong Zhang:
Robust Frequent Directions with Application in Online Learning. J. Mach. Learn. Res. 20: 45:1-45:41 (2019) - [j5]Qing-Yuan Jiang, Wu-Jun Li:
Discrete Latent Factor Model for Cross-Modal Hashing. IEEE Trans. Image Process. 28(7): 3490-3501 (2019) - [c42]Ya-Qi Yu, Lei Fan, Wu-Jun Li:
Ensemble Additive Margin Softmax for Speaker Verification. ICASSP 2019: 6046-6050 - [c41]Qing-Yuan Jiang, Yi He, Gen Li, Jian Lin, Lei Li, Wu-Jun Li:
SVD: A Large-Scale Short Video Dataset for Near-Duplicate Video Retrieval. ICCV 2019: 5280-5288 - [c40]Lei Fan, Qing-Yuan Jiang, Ya-Qi Yu, Wu-Jun Li:
Deep Hashing for Speaker Identification and Retrieval. INTERSPEECH 2019: 2908-2912 - [i30]Shen-Yi Zhao, Hao Gao, Wu-Jun Li:
Quantized Epoch-SGD for Communication-Efficient Distributed Learning. CoRR abs/1901.03040 (2019) - [i29]Dong Xu, Wu-Jun Li:
Hashing based Answer Selection. CoRR abs/1905.10718 (2019) - [i28]Dong Xu, Jianhui Ji, Haikuan Huang, Hongbo Deng, Wu-Jun Li:
Gated Group Self-Attention for Answer Selection. CoRR abs/1905.10720 (2019) - [i27]Qing-Yuan Jiang, Ming-Wei Li, Wu-Jun Li:
On the Evaluation Metric for Hashing. CoRR abs/1905.10951 (2019) - [i26]Ming-Wei Li, Qing-Yuan Jiang, Wu-Jun Li:
Deep Multi-Index Hashing for Person Re-Identification. CoRR abs/1905.10980 (2019) - [i25]Shen-Yi Zhao, Yin-Peng Xie, Hao Gao, Wu-Jun Li:
Global Momentum Compression for Sparse Communication in Distributed SGD. CoRR abs/1905.12948 (2019) - [i24]Shen-Yi Zhao, Hao Gao, Wu-Jun Li:
On the Convergence of Memory-Based Distributed SGD. CoRR abs/1905.12960 (2019) - [i23]Xiao Ma, Shen-Yi Zhao, Wu-Jun Li:
Clustered Reinforcement Learning. CoRR abs/1906.02457 (2019) - [i22]Shen-Yi Zhao, Hao Gao, Wu-Jun Li:
ADASS: Adaptive Sample Selection for Training Acceleration. CoRR abs/1906.04819 (2019) - [i21]Wen-Pu Cai, Wu-Jun Li:
Weight Normalization based Quantization for Deep Neural Network Compression. CoRR abs/1907.00593 (2019) - 2018
- [j4]Qing-Yuan Jiang, Xue Cui, Wu-Jun Li:
Deep Discrete Supervised Hashing. IEEE Trans. Image Process. 27(12): 5996-6009 (2018) - [c39]Qing-Yuan Jiang, Wu-Jun Li:
Asymmetric Deep Supervised Hashing. AAAI 2018: 3342-3349 - [c38]Shen-Yi Zhao, Gong-Duo Zhang, Ming-Wei Li, Wu-Jun Li:
Proximal SCOPE for Distributed Sparse Learning. NeurIPS 2018: 6552-6561 - [i20]Gong-Duo Zhang, Shen-Yi Zhao, Hao Gao, Wu-Jun Li:
Feature-Distributed SVRG for High-Dimensional Linear Classification. CoRR abs/1802.03604 (2018) - [i19]Kai-Lang Yao, Wu-Jun Li:
Convolutional Geometric Matrix Completion. CoRR abs/1803.00754 (2018) - [i18]Shen-Yi Zhao, Gong-Duo Zhang, Ming-Wei Li, Wu-Jun Li:
Proximal SCOPE for Distributed Sparse Learning: Better Data Partition Implies Faster Convergence Rate. CoRR abs/1803.05621 (2018) - 2017
- [c37]Shen-Yi Zhao, Ru Xiang, Ying-Hao Shi, Peng Gao, Wu-Jun Li:
SCOPE: Scalable Composite Optimization for Learning on Spark. AAAI 2017: 2928-2934 - [c36]Shen-Yi Zhao, Gong-Duo Zhang, Wu-Jun Li:
Lock-Free Optimization for Non-Convex Problems. AAAI 2017: 2935-2941 - [c35]Qing-Yuan Jiang, Wu-Jun Li:
Deep Cross-Modal Hashing. CVPR 2017: 3270-3278 - [c34]Xinyu Yan, Lijun Zhang, Wu-Jun Li:
Semi-Supervised Deep Hashing with a Bipartite Graph. IJCAI 2017: 3238-3244 - [i17]Xiao-Fan Niu, Wu-Jun Li:
ParaGraphE: A Library for Parallel Knowledge Graph Embedding. CoRR abs/1703.05614 (2017) - [i16]Luo Luo, Cheng Chen, Zhihua Zhang, Wu-Jun Li:
Online Learning Via Regularized Frequent Directions. CoRR abs/1705.05067 (2017) - [i15]Qing-Yuan Jiang, Wu-Jun Li:
Discrete Latent Factor Model for Cross-Modal Hashing. CoRR abs/1707.08322 (2017) - [i14]Qing-Yuan Jiang, Wu-Jun Li:
Asymmetric Deep Supervised Hashing. CoRR abs/1707.08325 (2017) - [i13]Qing-Yuan Jiang, Xue Cui, Wu-Jun Li:
Deep Discrete Supervised Hashing. CoRR abs/1707.09905 (2017) - 2016
- [c33]Wang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou:
Column Sampling Based Discrete Supervised Hashing. AAAI 2016: 1230-1236 - [c32]Shen-Yi Zhao, Wu-Jun Li:
Fast Asynchronous Parallel Stochastic Gradient Descent: A Lock-Free Approach with Convergence Guarantee. AAAI 2016: 2379-2385 - [c31]Wu-Jun Li, Sheng Wang, Wang-Cheng Kang:
Feature Learning Based Deep Supervised Hashing with Pairwise Labels. IJCAI 2016: 1711-1717 - [i12]Shen-Yi Zhao, Ru Xiang, Ying-Hao Shi, Peng Gao, Wu-Jun Li:
SCOPE: Scalable Composite Optimization for Learning on Spark. CoRR abs/1602.00133 (2016) - [i11]Luo Luo, Zihao Chen, Zhihua Zhang, Wu-Jun Li:
Variance-Reduced Second-Order Methods. CoRR abs/1602.00223 (2016) - [i10]Qing-Yuan Jiang, Wu-Jun Li:
Deep Cross-Modal Hashing. CoRR abs/1602.02255 (2016) - [i9]Dong Xu, Wu-Jun Li:
Full-Time Supervision based Bidirectional RNN for Factoid Question Answering. CoRR abs/1606.05854 (2016) - [i8]Shen-Yi Zhao, Gong-Duo Zhang, Wu-Jun Li:
Lock-Free Optimization for Non-Convex Problems. CoRR abs/1612.03441 (2016) - 2015
- [j3]Hao Wang, Wu-Jun Li:
Relational Collaborative Topic Regression for Recommender Systems. IEEE Trans. Knowl. Data Eng. 27(5): 1343-1355 (2015) - [c30]Luo Luo, Yubo Xie, Zhihua Zhang, Wu-Jun Li:
Support Matrix Machines. ICML 2015: 938-947 - [c29]Qing-Yuan Jiang, Wu-Jun Li:
Scalable Graph Hashing with Feature Transformation. IJCAI 2015: 2248-2254 - [i7]Shen-Yi Zhao, Wu-Jun Li, Zhi-Hua Zhou:
Scalable Stochastic Alternating Direction Method of Multipliers. CoRR abs/1502.03529 (2015) - [i6]Yangyang Kang, Zhihua Zhang, Wu-Jun Li:
On the Global Convergence of Majorization Minimization Algorithms for Nonconvex Optimization Problems. CoRR abs/1504.07791 (2015) - [i5]Shen-Yi Zhao, Wu-Jun Li:
Fast Asynchronous Parallel Stochastic Gradient Decent. CoRR abs/1508.05711 (2015) - [i4]Cheng Chen, Shuang Liu, Zhihua Zhang, Wu-Jun Li:
A Parallel algorithm for $\mathcal{X}$-Armed bandits. CoRR abs/1510.07471 (2015) - [i3]Cong Xie, Wu-Jun Li, Zhihua Zhang:
S-PowerGraph: Streaming Graph Partitioning for Natural Graphs by Vertex-Cut. CoRR abs/1511.02586 (2015) - [i2]Cong Xie, Wu-Jun Li, Zhihua Zhang:
A New Relaxation Approach to Normalized Hypergraph Cut. CoRR abs/1511.02595 (2015) - [i1]Wu-Jun Li, Sheng Wang, Wang-Cheng Kang:
Feature Learning based Deep Supervised Hashing with Pairwise Labels. CoRR abs/1511.03855 (2015) - 2014
- [j2]Zhihua Zhang, Cheng Chen, Guang Dai, Wu-Jun Li, Dit-Yan Yeung:
Multicategory large margin classification methods: Hinge losses vs. coherence functions. Artif. Intell. 215: 55-78 (2014) - [c28]Dongqing Zhang, Wu-Jun Li:
Large-Scale Supervised Multimodal Hashing with Semantic Correlation Maximization. AAAI 2014: 2177-2183 - [c27]Zhi-Qin Yu, Xing-Jian Shi, Ling Yan, Wu-Jun Li:
Distributed Stochastic ADMM for Matrix Factorization. CIKM 2014: 1259-1268 - [c26]Ling Yan, Wu-Jun Li, Gui-Rong Xue, Dingyi Han:
Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising. ICML 2014: 802-810 - [c25]Cong Xie, Ling Yan, Wu-Jun Li, Zhihua Zhang:
Distributed Power-law Graph Computing: Theoretical and Empirical Analysis. NIPS 2014: 1673-1681 - [c24]Peichao Zhang, Wei Zhang, Wu-Jun Li, Minyi Guo:
Supervised hashing with latent factor models. SIGIR 2014: 173-182 - 2013
- [c23]Zhiquan Liu, Luo Luo, Wu-Jun Li:
Robust crowdsourced learning. IEEE BigData 2013: 338-343 - [c22]Hao Wang, Binyi Chen, Wu-Jun Li:
Collaborative Topic Regression with Social Regularization for Tag Recommendation. IJCAI 2013: 2719-2725 - [c21]Hao Wang, Wu-Jun Li:
Online Egocentric Models for Citation Networks. IJCAI 2013: 2726-2732 - 2012
- [c20]Weihao Kong, Wu-Jun Li:
Double-Bit Quantization for Hashing. AAAI 2012: 634-640 - [c19]Wu-Jun Li, Dit-Yan Yeung:
Sparse Probabilistic Relational Projection. AAAI 2012: 1005-1011 - [c18]Kun-Lin Liu, Wu-Jun Li, Minyi Guo:
Emoticon Smoothed Language Models for Twitter Sentiment Analysis. AAAI 2012: 1678-1684 - [c17]Weihao Kong, Wu-Jun Li:
Isotropic Hashing. NIPS 2012: 1655-1663 - [c16]Weihao Kong, Wu-Jun Li, Minyi Guo:
Manhattan hashing for large-scale image retrieval. SIGIR 2012: 45-54 - 2011
- [c15]Wu-Jun Li, Dit-Yan Yeung:
Social Relations Model for Collaborative Filtering. AAAI 2011: 803-808 - [c14]Wu-Jun Li, Dit-Yan Yeung, Zhihua Zhang:
Generalized Latent Factor Models for Social Network Analysis. IJCAI 2011: 1705-1710 - 2010
- [j1]Wu-Jun Li, Dit-Yan Yeung:
MILD: Multiple-Instance Learning via Disambiguation. IEEE Trans. Knowl. Data Eng. 22(1): 76-89 (2010) - [c13]Guoqiang Zhong, Wu-Jun Li, Dit-Yan Yeung, Xinwen Hou, Cheng-Lin Liu:
Gaussian Process Latent Random Field. AAAI 2010: 679-684
2000 – 2009
- 2009
- [c12]Wu-Jun Li, Dit-Yan Yeung:
Localized content-based image retrieval through evidence region identification. CVPR 2009: 1666-1673 - [c11]Wu-Jun Li, Dit-Yan Yeung:
Relation Regularized Matrix Factorization. IJCAI 2009: 1126-1131 - [c10]Wu-Jun Li, Dit-Yan Yeung, Zhihua Zhang:
Probabilistic Relational PCA. NIPS 2009: 1123-1131 - [c9]Yi Zhen, Wu-Jun Li, Dit-Yan Yeung:
TagiCoFi: tag informed collaborative filtering. RecSys 2009: 69-76 - [c8]Wu-Jun Li, Zhihua Zhang, Dit-Yan Yeung:
Latent Wishart Processes for Relational Kernel Learning. AISTATS 2009: 336-343 - [c7]Zhihua Zhang, Michael I. Jordan, Wu-Jun Li, Dit-Yan Yeung:
Coherence Functions for Multicategory Margin-based Classification Methods. AISTATS 2009: 647-654 - 2006
- [c6]Rong Xiao, Wu-Jun Li, Yuandong Tian, Xiaoou Tang:
Joint Boosting Feature Selection for Robust Face Recognition. CVPR (2) 2006: 1415-1422 - 2005
- [c5]Wu-Jun Li, Bin Luo, Chong-Jun Wang, Xiang-Ping Zhong, Zhaoqian Chen:
A Multiple Eigenspaces Constructing Method and Its Application to Face Recognition. ICNC (2) 2005: 55-64 - [c4]Chong-Jun Wang, Wu-Jun Li, Lin Ding, Juan Tian, Shifu Chen:
Image Segmentation Using Spectral Clustering. ICTAI 2005: 677-678 - [c3]Wu-Jun Li, Chong-Jun Wang, Dianxiang Xu, Bin Luo, Zhaoqian Chen:
A Study on Illumination Invariant Face Recognition Methods Based on Multiple Eigenspaces. ISNN (2) 2005: 131-136 - 2004
- [c2]Wu-Jun Li, Chong-Jun Wang, Dianxiang Xu, Shifu Chen:
Illumination Invariant Face Recognition Based on Neural Network Ensemble. ICTAI 2004: 486-490 - [c1]Chong-Jun Wang, Yu-Bin Yang, Wu-Jun Li, Shifu Chen:
Image Texture Representation and Retrieval Based on Power Spectral Histograms. ICTAI 2004: 491-495
Coauthor Index
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