Papers
An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process
Amar Shah, David Knowles, Zoubin Ghahramani
A New Generalized Error Path Algorithm for Model Selection
Bin Gu, Charles Ling
A New Perspective and Extension of the Gaussian Filter
Manuel Wuthrich, Sebastian Trimpe, Daniel Kappler et al.
A New Retraction for Accelerating the Riemannian Three-Factor Low-Rank Matrix Completion Algorithm
Zhizhong Li, Deli Zhao, Zhouchen Lin et al.
An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection
Tianbao Yang, Lijun Zhang, Rong Jin et al.
An Exploration of Parameter Redundancy in Deep Networks With Circulant Projections
Yu Cheng, Felix X. Yu, Rogerio S. Feris et al.
An Improved Deep Learning Architecture for Person Re-Identification
Ejaz Ahmed, Michael Jones, Tim K. Marks
An MRF-Poselets Model for Detecting Highly Articulated Humans
Duc Thanh Nguyen, Minh-Khoi Tran, Sai-Kit Yeung
An NMF Perspective on Binary Hashing
Lopamudra Mukherjee, Sathya N. Ravi, Vamsi K. Ithapu et al.
A Nonconvex Optimization Framework for Low Rank Matrix Estimation
Tuo Zhao, Zhaoran Wang, Han Liu
An Online Learning Algorithm for Bilinear Models
Yuanbin Wu, Shiliang Sun
A Nonparametric Bayesian Approach Toward Stacked Convolutional Independent Component Analysis
Sotirios P. Chatzis, Dimitrios Kosmopoulos
A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks
Cengiz Pehlevan, Dmitri Chklovskii
A Novel Locally Linear KNN Model for Visual Recognition
Qingfeng Liu, Chengjun Liu
A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images
Alberto Crivellaro, Mahdi Rad, Yannick Verdie et al.
A Novel Sparsity Measure for Tensor Recovery
Qian Zhao, Deyu Meng, Xu Kong et al.
Anytime Influence Bounds and the Explosive Behavior of Continuous-Time Diffusion Networks
Kevin Scaman, Rémi Lemonnier, Nicolas Vayatis
Appearance-Based Gaze Estimation in the Wild
Xucong Zhang, Yusuke Sugano, Mario Fritz et al.
Approval Voting and Incentives in Crowdsourcing
Nihar Shah, Dengyong Zhou, Yuval Peres
Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games
Julien Perolat, Bruno Scherrer, Bilal Piot et al.
Approximate Modified Policy Iteration and its Application to the Game of Tetris
Bruno Scherrer, Mohammad Ghavamzadeh, Victor Gabillon et al.
Approximate Nearest Neighbor Fields in Video
Nir Ben-Zrihem, Lihi Zelnik-Manor
Approximating Sparse PCA from Incomplete Data
ABHISEK KUNDU, Petros Drineas, Malik Magdon-Ismail
A Probabilistic Model for Dirty Multi-task Feature Selection
Daniel Hernandez-Lobato, Jose Miguel Hernandez-Lobato, Zoubin Ghahramani