Papers
176,624 papers found
Discovering Temporal Causal Relations from Subsampled Data
Mingming Gong, Kun Zhang, Bernhard Schoelkopf et al.
Discovering the Spatial Extent of Relative Attributes
Fanyi Xiao, Yong Jae Lee
Discrete Hyper-Graph Matching
Junchi Yan, Chao Zhang, Hongyuan Zha et al.
Discrete Optimization of Ray Potentials for Semantic 3D Reconstruction
Nikolay Savinov, Lubor Ladicky, Christian Hane et al.
Discrete Rényi Classifiers
Meisam Razaviyayn, Farzan Farnia, David Tse
Discrete Reproducing Kernel Hilbert Spaces: Sampling and Distribution of Dirac-masses
Palle Jorgensen, Feng Tian
Discrete Restricted Boltzmann Machines
Guido Montúfar, Jason Morton
Discrete Tabu Search for Graph Matching
Kamil Adamczewski, Yumin Suh, Kyoung Mu Lee
Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition With Image Sets
Wen Wang, Ruiping Wang, Zhiwu Huang et al.
Discriminative and Consistent Similarities in Instance-Level Multiple Instance Learning
Mohammad Rastegari, Hannaneh Hajishirzi, Ali Farhadi
Discriminative Learning of Deep Convolutional Feature Point Descriptors
Edgar Simo-Serra, Eduard Trulls, Luis Ferraz et al.
Discriminative Learning of Iteration-Wise Priors for Blind Deconvolution
Wangmeng Zuo, Dongwei Ren, Shuhang Gu et al.
Discriminative Low-Rank Tracking
Yao Sui, Yafei Tang, Li Zhang
Discriminative Pose-Free Descriptors for Face and Object Matching
Soubhik Sanyal, Sivaram Prasad Mudunuri, Soma Biswas
Discriminative Robust Transformation Learning
Jiaji Huang, Qiang Qiu, Guillermo Sapiro et al.
Discriminative Shape From Shading in Uncalibrated Illumination
Stephan R. Richter, Stefan Roth
Displets: Resolving Stereo Ambiguities Using Object Knowledge
Fatma Guney, Andreas Geiger
Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM
Ching-Pei Lee, Dan Roth
Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds
Yuchen Zhang, Martin Wainwright, Michael Jordan
Distributed Gaussian Processes
Marc Deisenroth, Jun Wei Ng
Distributed Inference for Dirichlet Process Mixture Models
Hong Ge, Yutian Chen, Moquan Wan et al.
Distributed Matrix Completion and Robust Factorization
Lester Mackey, Ameet Talwalkar, Michael I. Jordan
Distributed Submodular Cover: Succinctly Summarizing Massive Data
Baharan Mirzasoleiman, Amin Karbasi, Ashwinkumar Badanidiyuru et al.
Distributionally Robust Logistic Regression
Soroosh Shafieezadeh-Abadeh, Peyman Mohajerin Esfahani, Daniel Huhn
Distributional Rank Aggregation, and an Axiomatic Analysis
Adarsh Prasad, Harsh Pareek, Pradeep Ravikumar