Papers
Computational Complexity of Linear Large Margin Classification With Ramp Loss
Søren Frejstrup Maibing, Christian Igel
Computational Exploration to Linguistic Structures of Future: Classification and Categorization
Aiming Ni, Jinho D. Choi, Jason Shepard et al.
Computational Invention of Cadences and Chord Progressions by Conceptual Chord-Blending
Manfred Eppe, Roberto Confalonieri, Ewen MacLean et al.
Computational Lower Bounds for Community Detection on Random Graphs
Bruce Hajek, Yihong Wu, Jiaming Xu
Computationally Bounded Retrieval
Mohammad Rastegari, Cem Keskin, Pushmeet Kohli et al.
Computation and Complexity of Preference Inference Based on Hierarchical Models
Nic Wilson, Anne-Marie George, Barry O'Sullivan
Computer Science on the Move: Inferring Migration Regularities from the Web via Compressed Label Propagation
Fabian Hadiji, Martin Mladenov, Christian Bauckhage et al.
Computing Horn Rewritings of Description Logics Ontologies
Mark Kaminski, Bernardo Cuenca Grau
Computing Optimal Mixed Strategies for Security Games with Dynamic Payoffs
Yue Yin, Haifeng Xu, Jiarui Gan et al.
Computing Possibly Optimal Solutions for Multi-Objective Constraint Optimisation with Tradeoffs
Nic Wilson, Abdul Razak, Radu Marinescu
Computing Similarity Transformations From Only Image Correspondences
Chris Sweeney, Laurent Kneip, Tobias Hollerer et al.
Computing Social Behaviours Using Agent Models
Paolo Felli, Tim Miller, Christian Muise et al.
Computing the Stereo Matching Cost With a Convolutional Neural Network
Jure Zbontar, Yann LeCun
Concave Penalized Estimation of Sparse Gaussian Bayesian Networks
Bryon Aragam, Qing Zhou
Concept-based Summarization using Integer Linear Programming: From Concept Pruning to Multiple Optimal Solutions
Florian Boudin, Hugo Mougard, Benoit Favre
ConceptLearner: Discovering Visual Concepts From Weakly Labeled Image Collections
Bolei Zhou, Vignesh Jagadeesh, Robinson Piramuthu
Conditional Convolutional Neural Network for Modality-Aware Face Recognition
Chao Xiong, Xiaowei Zhao, Danhang Tang et al.
Conditional High-Order Boltzmann Machine: A Supervised Learning Model for Relation Learning
Yan Huang, Wei Wang, Liang Wang
Conditional Random Fields as Recurrent Neural Networks
Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes et al.
Conditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete Labels
Xin Li, Feipeng Zhao, Yuhong Guo
Conditioned Regression Models for Non-Blind Single Image Super-Resolution
Gernot Riegler, Samuel Schulter, Matthias Ruther et al.
Condition for Perfect Dimensionality Recovery by Variational Bayesian PCA
Shinichi Nakajima, Ryota Tomioka, Masashi Sugiyama et al.
Conference on Learning Theory 2015: Preface
Peter Grünwald, Elad Hazan
Confidence Preserving Machine for Facial Action Unit Detection
Jiabei Zeng, Wen-Sheng Chu, Fernando De la Torre et al.
Conformal and Low-Rank Sparse Representation for Image Restoration
Jianwei Li, Xiaowu Chen, Dongqing Zou et al.