Papers
176,624 papers found
Correlation Clustering in Data Streams
KookJin Ahn, Graham Cormode, Sudipto Guha et al.
Correlation Clustering with Noisy Partial Information
Konstantin Makarychev, Yury Makarychev, Aravindan Vijayaraghavan
Correlation Filters With Limited Boundaries
Hamed Kiani Galoogahi, Terence Sim, Simon Lucey
Cortical Learning via Prediction
Christos H. Papadimitriou, Santosh S. Vempala
Co-Saliency Detection via Looking Deep and Wide
Dingwen Zhang, Junwei Han, Chao Li et al.
Counterfactual Risk Minimization: Learning from Logged Bandit Feedback
Adith Swaminathan, Thorsten Joachims
COUNT Forest: CO-Voting Uncertain Number of Targets Using Random Forest for Crowd Density Estimation
Viet-Quoc Pham, Tatsuo Kozakaya, Osamu Yamaguchi et al.
Counting and Exploring Sizes of Markov Equivalence Classes of Directed Acyclic Graphs
Yangbo He, Jinzhu Jia, Bin Yu
Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling
Xiaocheng Shang, Zhanxing Zhu, Benedict Leimkuhler et al.
Cross-Age Face Verification by Coordinating With Cross-Face Age Verification
Liang Du, Haibin Ling
Cross-Domain Image Retrieval With a Dual Attribute-Aware Ranking Network
Junshi Huang, Rogerio S. Feris, Qiang Chen et al.
Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions
Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada et al.
Cross-domain recommendation without shared users or items by sharing latent vector distributions
Tomoharu Iwata, Takeuchi Koh
Cross-Scene Crowd Counting via Deep Convolutional Neural Networks
Cong Zhang, Hongsheng Li, Xiaogang Wang et al.
CUR Algorithm for Partially Observed Matrices
Miao Xu, Rong Jin, Zhi-Hua Zhou
Curriculum Learning of Bayesian Network Structures
Yanpeng Zhao, Yetian Chen, Kewei Tu et al.
Curriculum Learning of Multiple Tasks
Anastasia Pentina, Viktoriia Sharmanska, Christoph H. Lampert
Cutting Edge: Soft Correspondences in Multimodal Scene Parsing
Sarah Taghavi Namin, Mohammad Najafi, Mathieu Salzmann et al.
CV-HAZOP: Introducing Test Data Validation for Computer Vision
Oliver Zendel, Markus Murschitz, Martin Humenberger et al.
DART: Dropouts meet Multiple Additive Regression Trees
Rashmi Korlakai Vinayak, Ran Gilad-Bachrach
DASC: Dense Adaptive Self-Correlation Descriptor for Multi-Modal and Multi-Spectral Correspondence
Seungryong Kim, Dongbo Min, Bumsub Ham et al.
Data-Driven 3D Voxel Patterns for Object Category Recognition
Yu Xiang, Wongun Choi, Yuanqing Lin et al.
Data-Driven Depth Map Refinement via Multi-Scale Sparse Representation
HyeokHyen Kwon, Yu-Wing Tai, Stephen Lin
Data-Driven Online Decision Making for Autonomous Manipulation
Daniel Kappler, Peter Pastor, Mrinal Kalakrishnan et al.
Data-Driven Sparsity-Based Restoration of JPEG-Compressed Images in Dual Transform-Pixel Domain
Xianming Liu, Xiaolin Wu, Jiantao Zhou et al.