244 citations · 1.5k across the 71 of their papers we have counts for
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A Revisit of Hashing Algorithms for Approximate Nearest Neighbor Search
Deng Cai
Approximate Nearest Neighbor Search (ANNS) is a fundamental problem in many areas of machine learning and data mining. During the past decade, numerous hashing algorithms are propo…
Question Retrieval for Community-based Question Answering via Heterogeneous Network Integration Learning
Zheqian Chen, Chi Zhang, Zhou Zhao +1
Community based question answering platforms have attracted substantial users to share knowledge and learn from each other. As the rapid enlargement of CQA platforms, quantities of…
User Personalized Satisfaction Prediction via Multiple Instance Deep Learning
Zheqian Chen, Ben Gao, Huimin Zhang +2
Community based question answering services have arisen as a popular knowledge sharing pattern for netizens. With abundant interactions among users, individuals are capable of obta…
Relational Multi-Manifold Co-Clustering
Ping Li, Jiajun Bu, Chun Chen +2
Co-clustering targets on grouping the samples (e.g., documents, users) and the features (e.g., words, ratings) simultaneously. It employs the dual relation and the bilateral inform…
Constrained Low-Rank Learning Using Least Squares-Based Regularization
Ping Li, Jun Yu, Meng Wang +3
Low-rank learning has attracted much attention recently due to its efficacy in a rich variety of real-world tasks, e.g., subspace segmentation and image categorization. Most low-ra…
EFANNA : An Extremely Fast Approximate Nearest Neighbor Search Algorithm Based on kNN Graph
Cong Fu, Deng Cai
Approximate nearest neighbor (ANN) search is a fundamental problem in many areas of data mining, machine learning and computer vision. The performance of traditional hierarchical s…
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction
Weizhong Zhang, Bin Hong, Wei Liu +4
Sparse support vector machine (SVM) is a popular classification technique that can simultaneously learn a small set of the most interpretable features and identify the support vect…
Depth Image Inpainting: Improving Low Rank Matrix Completion with Low Gradient Regularization
Hongyang Xue, Shengming Zhang, Deng Cai
We consider the case of inpainting single depth images. Without corresponding color images, previous or next frames, depth image inpainting is quite challenging. One natural soluti…
Deep Feature Based Contextual Model for Object Detection
Wenqing Chu, Deng Cai
Object detection is one of the most active areas in computer vision, which has made significant improvement in recent years. Current state-of-the-art object detection methods mostl…
Stereo Matching by Joint Energy Minimization
Hongyang Xue, Deng Cai
In [18], Mozerov et al. propose to perform stereo matching as a two-step energy minimization problem. For the first step they solve a fully connected MRF model. And in the next ste…