Papers
Learning a Deep Compact Image Representation for Visual Tracking
Naiyan Wang, Dit-Yan Yeung
Learning a Dictionary of Shape Epitomes with Applications to Image Labeling
Liang-Chieh Chen, George Papandreou, Alan L. Yuille
Learning a Manifold as an Atlas
Nikolaos Pitelis, Chris Russell, Lourdes Agapito
Learning a Metric Space for Neighbourhood Topology Estimation: Application to Manifold Learning
Karim Abou- Moustafa, Dale Schuurmans, Frank Ferrie
Learning and Calibrating Per-Location Classifiers for Visual Place Recognition
Petr Gronat, Guillaume Obozinski, Josef Sivic et al.
Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines
Kihyuk Sohn, Guanyu Zhou, Chansoo Lee et al.
Learning and using language via recursive pragmatic reasoning about other agents
Nathaniel J Smith, Noah Goodman, Michael Frank
Learning an Internal Dynamics Model from Control Demonstration
Matthew Golub, Steven Chase, Byron Yu
Learning a Part-of-Speech Tagger from Two Hours of Annotation
Dan Garrette, Jason Baldridge
Learning a Phrase-based Translation Model from Monolingual Data with Application to Domain Adaptation
Jiajun Zhang, Chengqing Zong
Learning a Product of Experts with Elitist Lasso
Mengqiu Wang, Christopher D. Manning
Learning a Replacement Model for Query Segmentation with Consistency in Search Logs
Wei Zhang, Yunbo Cao, Chin-Yew Lin et al.
Learning a set of directions
Wouter M. Koolen, Jiazhong Nie, Manfred Warmuth
Learning Based Approaches for Vietnamese Question Classification Using Keywords Extraction from the Web
Dang Hai Tran, Cuong Xuan Chu, Son Bao Pham et al.
Learning Bilinear Model for Matching Queries and Documents
Wei Wu, Zhengdong Lu, Hang Li
Learning Binary Codes for High-Dimensional Data Using Bilinear Projections
Yunchao Gong, Sanjiv Kumar, Henry A. Rowley et al.
Learning Biological Processes with Global Constraints
Aju Thalappillil Scaria, Jonathan Berant, Mengqiu Wang et al.
Learning by Associating Ambiguously Labeled Images
Zinan Zeng, Shijie Xiao, Kui Jia et al.
Learning Chordal Markov Networks by Constraint Satisfaction
Jukka Corander, Tomi Janhunen, Jussi Rintanen et al.
Learning Class-to-Image Distance with Object Matchings
Guang-Tong Zhou, Tian Lan, Weilong Yang et al.
Learning Collections of Part Models for Object Recognition
Ian Endres, Kevin J. Shih, Johnston Jiaa et al.
Learning Community-Based Preferences via Dirichlet Process Mixtures of Gaussian Processes
Ehsan Abbasnejad, Scott Sanner, Edwin V. Bonilla et al.
Learning Compact Binary Codes for Visual Tracking
Xi Li, Chunhua Shen, Anthony Dick et al.
Learning Connections in Financial Time Series
Gartheeban Ganeshapillai, John Guttag, Andrew Lo