Papers
Quantized Correlation Hashing for Fast Cross-Modal Search
Botong Wu, Qiang Yang, Wei-Shi Zheng et al.
Imaging Time-Series to Improve Classification and Imputation
Zhiguang Wang, Tim Oates
A Joint Optimization Framework of Sparse Coding and Discriminative Clustering
Zhangyang Wang, Yingzhen Yang, Shiyu Chang et al.
Discriminative Unsupervised Dimensionality Reduction
Xiaoqian Wang, Yun Liu, Feiping Nie et al.
A Soft Version of Predicate Invention Based on Structured Sparsity
William Yang Wang, Kathryn Mazaitis, William W. Cohen
Ranking Preserving Hashing for Fast Similarity Search
Qifan Wang, Zhiwei Zhang, Luo Si
Learning to Hash on Partial Multi-Modal Data
Qifan Wang, Luo Si, Bin Shen
An Efficient Classifier Based on Hierarchical Mixing Linear Support Vector Machines
Di Wang, Xiaoqin Zhang, Mingyu Fan et al.
Semantic Topic Multimodal Hashing for Cross-Media Retrieval
Di Wang, Xinbo Gao, Xiumei Wang et al.
Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations
Chenguang Wang, Yangqiu Song, Dan Roth et al.
Feature Selection from Microarray Data via an Ordered Search with Projected Margin
Saulo Moraes Villla, Saul de Castro Leite, Raul Fonseca Neto
Online Learning of k-CNF Boolean Functions
Joel Veness, Marcus Hutter, Laurent Orseau et al.
Portable Option Discovery for Automated Learning Transfer in Object-Oriented Markov Decision Processes
Nicholay Topin, Nicholas Haltmeyer, Shawn Squire et al.
Convergence of Common Proximal Methods for L1-Regularized Least Squares
Shaozhe Tao, Daniel Boley, Shuzhong Zhang
Sketch the Storyline with CHARCOAL: A Non-Parametric Approach
Siliang Tang, Fei Wu, Si Li et al.
Polytree-Augmented Classifier Chains for Multi-Label Classification
Lu Sun, Mineichi Kudo
Open Domain Short Text Conceptualization: A Generative + Descriptive Modeling Approach
Yangqiu Song, Shusen Wang, Haixun Wang
A Geometric Theory of Feature Selection and Distance-Based Measures
Kilho Shin, Adrian Pino Angulo
Semi-Orthogonal Multilinear PCA with Relaxed Start
Qiquan Shi, Haiping Lu
Deep Linear Coding for Fast Graph Clustering
Ming Shao, Sheng Li, Zhengming Ding et al.
Extended Discriminative Random Walk: A Hypergraph Approach to Multi-View Multi-Relational Transductive Learning
Sai Nageswar Satchidanand, Harini Ananthapadmanaban, Balaraman Ravindran
Data Compression for Learning MRF Parameters
Khaled S. Refaat, Adnan Darwiche
Nonparametric Independence Testing for Small Sample Sizes
Aaditya Ramdas, Leila Wehbe
Scalable Probabilistic Tensor Factorization for Binary and Count Data
Piyush Rai, Changwei Hu, Matthew Harding et al.