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JMLR
2008
230views more  JMLR 2008»
13 years 7 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
CVIU
2007
158views more  CVIU 2007»
13 years 7 months ago
Local velocity-adapted motion events for spatio-temporal recognition
In this paper, we address the problem of motion recognition using event-based local motion representations. We assume that similar patterns of motion contain similar events with c...
Ivan Laptev, Barbara Caputo, Christian Schüld...
JCB
2006
185views more  JCB 2006»
13 years 7 months ago
A Probabilistic Methodology for Integrating Knowledge and Experiments on Biological Networks
Biological systems are traditionally studied by focusing on a specific subsystem, building an intuitive model for it, and refining the model using results from carefully designed ...
Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...
JRTIP
2008
118views more  JRTIP 2008»
13 years 7 months ago
Custom parallel caching schemes for hardware-accelerated image compression
Abstract In an effort to achieve lower bandwidth requirements, video compression algorithms have become increasingly complex. Consequently, the deployment of these algorithms on Fi...
Su-Shin Ang, George A. Constantinides, Wayne Luk, ...
DEBU
2007
211views more  DEBU 2007»
13 years 7 months ago
Provenance in Databases: Past, Current, and Future
The need to understand and manage provenance arises in almost every scientific application. In many cases, information about provenance constitutes the proof of correctness of re...
Wang Chiew Tan