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ICML
2007
IEEE
16 years 4 months ago
Piecewise pseudolikelihood for efficient training of conditional random fields
Discriminative training of graphical models can be expensive if the variables have large cardinality, even if the graphical structure is tractable. In such cases, pseudolikelihood...
Charles A. Sutton, Andrew McCallum
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 4 months ago
A parallel learning algorithm for text classification
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...
Canasai Kruengkrai, Chuleerat Jaruskulchai
CVPR
2010
IEEE
16 years 1 hour ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li
ATS
2009
IEEE
142views Hardware» more  ATS 2009»
15 years 10 months ago
Speeding up SAT-Based ATPG Using Dynamic Clause Activation
Abstract—SAT-based ATPG turned out to be a robust alternative to classical structural ATPG algorithms such as FAN. The number of unclassified faults can be significantly reduce...
Stephan Eggersglüß, Daniel Tille, Rolf ...
165
Voted
SIES
2009
IEEE
15 years 10 months ago
Programmable temporal isolation through variable-bandwidth servers
—We introduce variable-bandwidth servers (VBS) for scheduling and executing processes under programmable temporal isolation. A VBS is an extension of a constant-bandwidth server ...
Silviu S. Craciunas, Christoph M. Kirsch, Hannes P...