Search Results - "Zha, Hongyuan"

Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization by Junchi Yan, Minsu Cho, Hongyuan Zha, Xiaokang Yang, Chu, Stephen M.

“…This paper addresses the problem of matching common node correspondences among multiple graphs referring to an identical or related structure. This multi-graph…”
Get full text

Adaptive Manifold Learning by Zhang, Zhenyue, Wang, Jing, Zha, Hongyuan

“…Manifold learning algorithms seek to find a low-dimensional parameterization of high-dimensional data. They heavily rely on the notion of what can be…”
Get full text

Joint Active Learning with Feature Selection via CUR Matrix Decomposition by Li, Changsheng, Wang, Xiangfeng, Dong, Weishan, Yan, Junchi, Liu, Qingshan, Zha, Hongyuan

“…This paper presents an unsupervised learning approach for simultaneous sample and feature selection, which is in contrast to existing works which mainly tackle…”
Get full text

Consistency-Driven Alternating Optimization for Multigraph Matching: A Unified Approach by Junchi Yan, Jun Wang, Hongyuan Zha, Xiaokang Yang, Chu, Stephen

“…The problem of graph matching (GM) in general is nondeterministic polynomial-complete and many approximate pairwise matching techniques have been proposed. For…”
Get full text

Boundary-Eliminated Pseudoinverse Linear Discriminant for Imbalanced Problems by Zhu, Yujin, Wang, Zhe, Zha, Hongyuan, Gao, Daqi

“…Existing learning models for classification of imbalanced data sets can be grouped as either boundary-based or nonboundary-based depending on whether a…”
Get full text

EventThread: Visual Summarization and Stage Analysis of Event Sequence Data by Shunan Guo, Ke Xu, Rongwen Zhao, Gotz, David, Hongyuan Zha, Nan Cao

“…Event sequence data such as electronic health records, a person's academic records, or car service records, are ordered series of events which have occurred…”
Get full text

Learning structured communication for multi-agent reinforcement learning by Sheng, Junjie, Wang, Xiangfeng, Jin, Bo, Yan, Junchi, Li, Wenhao, Chang, Tsung-Hui, Wang, Jun, Zha, Hongyuan

“…This work explores the large-scale multi-agent communication mechanism for multi-agent reinforcement learning (MARL). We summarize the general topology…”
Get full text

Joint Optimization for Consistent Multiple Graph Matching by Junchi Yan, Yu Tian, Hongyuan Zha, Xiaokang Yang, Ya Zhang, Chu, Stephen M.

“…The problem of graph matching in general is NP-hard and approaches have been proposed for its sub optimal solution, most focusing on finding the one-to-one…”
Get full text

Contour Regression: A General Approach to Dimension Reduction by Li, Bing, Zha, Hongyuan, Chiaromonte, Francesca

“…We propose a novel approach to sufficient dimension reduction in regression, based on estimating contour directions of small variation in the response. These…”
Get full text

Manifold Based Face Synthesis from Sparse Samples by Xu, Hongteng, Zha, Hongyuan

“…Data sparsity has been a thorny issue for manifold-based image synthesis, and in this paper we address this critical problem by leveraging ideas from transfer…”
Get full text

Spectral Multimodal Hashing and Its Application to Multimedia Retrieval by Zhen, Yi, Gao, Yue, Yeung, Dit-Yan, Zha, Hongyuan, Li, Xuelong

“…In recent years, multimedia retrieval has sparked much research interest in the multimedia, pattern recognition, and data mining communities. Although some…”
Get full text

Unsupervised Trajectory Clustering via Adaptive Multi-kernel-Based Shrinkage by Xu, Hongteng, Zhou, Yang, Lin, Weiyao, Zha, Hongyuan

“…This paper proposes a shrinkage-based framework for unsupervised trajectory clustering. Facing to the challenges of trajectory clustering, e.g., large…”
Get full text

A New Algorithm for Inferring User Search Goals with Feedback Sessions by Lu, Zheng, Zha, Hongyuan, Yang, Xiaokang, Lin, Weiyao, Zheng, Zhaohui

“…For a broad-topic and ambiguous query, different users may have different search goals when they submit it to a search engine. The inference and analysis of…”
Get full text

Discrete hyper-graph matching by Junchi Yan, Chao Zhang, Hongyuan Zha, Wei Liu, Xiaokang Yang, Chu, Stephen M.

“…This paper focuses on the problem of hyper-graph matching, by accounting for both unary and higher-order affinity terms. Our method is in line with the linear…”
Get full text

A Time-Topic Coupled LDA Model for IPTV User Behaviors by Ya Zhang, Weiyuan Chen, Hongyuan Zha, Xiao Gu

“…Internet protocol television (IPTV), the television services through the Internet, has recently gained increasing popularity. One key advantage of IPTV over…”
Get full text

Multiscale Semilocal Interpolation With Antialiasing by Guo, Kai, Yang, Xiaokang, Zha, Hongyuan, Lin, Weiyao, Yu, Songyu

“…Aliasing is a common artifact in low-resolution (LR) images generated by a downsampling process. Recovering the original high-resolution image from its LR…”
Get full text

Spectral Properties of the Alignment Matrices in Manifold Learning by Zha, Hongyuan, Zhang, Zhenyue

“…Local methods for manifold learning generate a collection of local parameterizations which is then aligned to produce a global parameterization of the…”
Get full text

You Are What You Watch and When You Watch: Inferring Household Structures From IPTV Viewing Data by Luo, Dixin, Xu, Hongteng, Zha, Hongyuan, Du, Jun, Xie, Rong, Yang, Xiaokang, Zhang, Wenjun

“…What you watch and when you watch say a lot about you, and such information at the aggregated level across a user population obviously provides significant…”
Get full text

Fractal Dimension Invariant Filtering and Its CNN-Based Implementation by Hongteng Xu, Junchi Yan, Persson, Nils, Weiyao Lin, Hongyuan Zha

“…Fractal analysis has been widely used in computer vision, especially in texture image processing and texture analysis. The key concept of fractal-based image…”
Get full text

Publication Popularity Modeling via Adversarial Learning of Profile-Specific Dynamic Process by Xiao, Shuai, Yan, Junchi, Yang, Xiaokang, Zha, Hongyuan

“…Due to the rapidly growing volume of publications, it is an urgent task to evaluate the potential impact of emerging works and identify valuable publications…”
Get full text