Papers
Two-Layer Multiple Kernel Learning
Jinfeng Zhuang, Ivor W. Tsang, Steven C.H. Hoi
Understanding the Intrinsic Memorability of Images
Phillip Isola, Devi Parikh, Antonio Torralba et al.
Union Support Recovery in Multi-task Learning
Mladen Kolar, John Lafferty, Larry Wasserman
Uniqueness of Belief Propagation on Signed Graphs
Yusuke Watanabe
Universality, Characteristic Kernels and RKHS Embedding of Measures
Bharath K. Sriperumbudur, Kenji Fukumizu, Gert R.G. Lanckriet
Unmanned Aircraft Collision Avoidance using Continuous-State POMDPs
Haoyu Bai, David Hsu, Mykel Kochenderfer et al.
Unsupervised learning models of primary cortical receptive fields and receptive field plasticity
Maneesh Bhand, Ritvik Mudur, Bipin Suresh et al.
Unsupervised Multiple Kernel Learning
Jinfeng Zhuang, Jialei Wang, Steven C. H. Hoi et al.
Unsupervised Supervised Learning II: Margin-Based Classification without Labels
Krishnakumar Balasubramanian, Pinar Donmez, Guy Lebanon
Unsupervised Supervised Learning II: Margin-Based Classification Without Labels
Krishnakumar Balasubramanian, Pinar Donmez, Guy Lebanon
Variable Sparsity Kernel Learning
Jonathan Aflalo, Aharon Ben-Tal, Chiranjib Bhattacharyya et al.
Variance Penalizing AdaBoost
Pannagadatta K. Shivaswamy, Tony Jebara
Variance Reduction in Monte-Carlo Tree Search
Joel Veness, Marc Lanctot, Michael Bowling
Variational Gaussian Process Dynamical Systems
Andreas Damianou, Michalis K. Titsias, Neil D. Lawrence
Variational Learning for Recurrent Spiking Networks
Danilo J. Rezende, Daan Wierstra, Wulfram Gerstner
Video Annotation and Tracking with Active Learning
Carl Vondrick, Deva Ramanan
Visual Segmentation of Simple Objects for Robots
Ajay Mishra, Yiannis Aloimonos
Waffles: A Machine Learning Toolkit
Michael Gashler
Weisfeiler-Lehman Graph Kernels
Nino Shervashidze, Pascal Schweitzer, Erik Jan van Leeuwen et al.
Why The Brain Separates Face Recognition From Object Recognition
Joel Z. Leibo, Jim Mutch, Tomaso Poggio