Papers
173,579 papers found
Novel Boosting Frameworks to Improve the Performance of Collaborative Filtering
Xiaotian Jiang, Zhendong Niu, Jiamin Guo et al.
NYC3DCars: A Dataset of 3D Vehicles in Geographic Context
Kevin Matzen, Noah Snavely
Nyström Approximation for Large-Scale Determinantal Processes
Raja Hafiz Affandi, Alex Kulesza, Emily Fox et al.
Object-Centric Anomaly Detection by Attribute-Based Reasoning
Babak Saleh, Ali Farhadi, Ahmed Elgammal
Occlusion Patterns for Object Class Detection
Bojan Pepikj, Michael Stark, Peter Gehler et al.
ODE parameter inference using adaptive gradient matching with Gaussian processes
Frank Dondelinger, Dirk Husmeier, Simon Rogers et al.
Offline Mobile Instance Retrieval with a Small Memory Footprint
Jayaguru Panda, Michael S. Brown, C.V. Jawahar
O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions
Lijun Zhang, Tianbao Yang, Rong Jin et al.
On Algorithms for Sparse Multi-factor NMF
Siwei Lyu, Xin Wang
On a Link Between Kernel Mean Maps and Fraunhofer Diffraction, with an Application to Super-Resolution Beyond the Diffraction Limit
Stefan Harmeling, Michael Hirsch, Bernhard Scholkopf
On A Nonlinear Generalization of Sparse Coding and Dictionary Learning
Jeffrey Ho, Yuchen Xie, Baba Vemuri
On autoencoder scoring
Hanna Kamyshanska, Roland Memisevic
On Compact Codes for Spatially Pooled Features
Yangqing Jia, Oriol Vinyals, Trevor Darrell
On Decomposing the Proximal Map
Yao-Liang Yu
One-Bit Compressed Sensing: Provable Support and Vector Recovery
Sivakant Gopi, Praneeth Netrapalli, Prateek Jain et al.
One-Pass AUC Optimization
Wei Gao, Rong Jin, Shenghuo Zhu et al.
One-shot learning and big data with n=2
Lee H Dicker, Dean P. Foster
One-shot learning by inverting a compositional causal process
Brenden M Lake, Ruslan Salakhutdinov, Josh Tenenbaum
One-shot Learning Gesture Recognition from RGB-D Data Using Bag of Features
Jun Wan, Qiuqi Ruan, Wei Li et al.
On Flat versus Hierarchical Classification in Large-Scale Taxonomies
Rohit Babbar, Ioannis Partalas, Eric Gaussier et al.
On learning parametric-output HMMs
Aryeh Kontorovich, Boaz Nadler, Roi Weiss
Online Coverage by a Tethered Autonomous Mobile Robot in Planar Unknown Environments
Iddo Shnaps, Elon Rimon
Online Dominant and Anomalous Behavior Detection in Videos
Mehrsan Javan Roshtkhari, Martin D. Levine
Online Feature Selection for Model-based Reinforcement Learning
Trung Nguyen, Zhuoru Li, Tomi Silander et al.
Online Kernel Learning with a Near Optimal Sparsity Bound
Lijun Zhang, Jinfeng Yi, Rong Jin et al.