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ICDAR
2007
IEEE
14 years 2 months ago
Energy-Based Models in Document Recognition and Computer Vision
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu...
WEBDB
2010
Springer
155views Database» more  WEBDB 2010»
14 years 25 days ago
Learning Topical Transition Probabilities in Click Through Data with Regression Models
The transition of search engine users’ intents has been studied for a long time. The knowledge of intent transition, once discovered, can yield a better understanding of how di...
Xiao Zhang, Prasenjit Mitra
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
13 years 9 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...
SMC
2007
IEEE
143views Control Systems» more  SMC 2007»
14 years 2 months ago
Enabling gestural interaction by means of tracking dynamical systems models and assistive feedback
— The computational understanding of continuous human movement plays a significant role in diverse emergent applications in areas ranging from human computer interaction to phys...
Yon Visell, Jeremy R. Cooperstock
JAIR
2007
113views more  JAIR 2007»
13 years 7 months ago
Chain: A Dynamic Double Auction Framework for Matching Patient Agents
In this paper we present and evaluate a general framework for the design of truthful auctions for matching agents in a dynamic, two-sided market. A single commodity, such as a res...
Jonathan Bredin, David C. Parkes, Quang Duong