Papers
Convexity Shape Constraints for Image Segmentation
Loic A. Royer, David L. Richmond, Carsten Rother et al.
Convex Regression with Interpretable Sharp Partitions
Ashley Petersen, Noah Simon, Daniela Witten
Convex Two-Layer Modeling with Latent Structure
Vignesh Ganapathiraman, Xinhua Zhang, Yaoliang Yu et al.
Convolutional Networks for Shape From Light Field
Stefan Heber, Thomas Pock
Convolutional Neural Fabrics
Shreyas Saxena, Jakob Verbeek
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Michaël Defferrard, Xavier Bresson, Pierre Vandergheynst
Convolutional Neural Networks with Data Augmentation for Classifying Speakers’ Native Language
Gil Keren, Jun Deng, Jouni Pohjalainen et al.
Convolutional Pose Machines
Shih-En Wei, Varun Ramakrishna, Takeo Kanade et al.
Convolutional Rectifier Networks as Generalized Tensor Decompositions
Nadav Cohen, Amnon Shashua
Convolutional Two-Stream Network Fusion for Video Action Recognition
Christoph Feichtenhofer, Axel Pinz, Andrew Zisserman
Convolution-Enhanced Bilingual Recursive Neural Network for Bilingual Semantic Modeling
Jinsong Su, Biao Zhang, Deyi Xiong et al.
Cooperative Graphical Models
Josip Djolonga, Stefanie Jegelka, Sebastian Tschiatschek et al.
Cooperative Inverse Reinforcement Learning
Dylan Hadfield-Menell, Stuart Russell, Pieter Abbeel et al.
Coordinated and Efficient Huge Page Management with Ingens
Youngjin Kwon, Hangchen Yu, Simon Peter et al.
Coordinated multi-arm motion planning: Reaching for moving objects in the face of uncertainty
Seyed Sina Mirrazavi Salehian, Nadia Figueroa, Aude Billard
Coordinate-wise Power Method
Qi Lei, Kai Zhong, Inderjit S Dhillon
Coordinating Multiple Disparity Proposals for Stereo Computation
Ang Li, Dapeng Chen, Yuanliu Liu et al.
Copeland Dueling Bandit Problem: Regret Lower Bound, Optimal Algorithm, and Computationally Efficient Algorithm
Junpei Komiyama, Junya Honda, Hiroshi Nakagawa
Copula Ordinal Regression for Joint Estimation of Facial Action Unit Intensity
Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic et al.
Coresets for Scalable Bayesian Logistic Regression
Jonathan Huggins, Trevor Campbell, Tamara Broderick
Corpora for the Evaluation of Robust Speaker Recognition Systems
Douglas E. Sturim, Pedro A. Torres-Carrasquillo, Joseph P. Campbell
Corpus Fusion for Emotion Classification
Suyang Zhu, Shoushan Li, Ying Chen et al.
Correcting Forecasts with Multifactor Neural Attention
Matthew Riemer, Aditya Vempaty, Flavio Calmon et al.
Correlated Crash Vulnerabilities
Ramnatthan Alagappan, Aishwarya Ganesan, Yuvraj Patel et al.