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» Computational models of classical conditioning
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182
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ICDM
2006
IEEE
183views Data Mining» more  ICDM 2006»
16 years 23 days ago
Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
Arpit Mathur, Soumen Chakrabarti
180
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STOC
2004
ACM
152views Algorithms» more  STOC 2004»
16 years 7 months ago
Exponential separation of quantum and classical one-way communication complexity
Abstract. We give the first exponential separation between quantum and bounded-error randomized one-way communication complexity. Specifically, we define the Hidden Matching Proble...
Ziv Bar-Yossef, T. S. Jayram, Iordanis Kerenidis
188
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ATAL
2007
Springer
16 years 27 days ago
Conditional random fields for activity recognition
Activity recognition is a key component for creating intelligent, multi-agent systems. Intrinsically, activity recognition is a temporal classification problem. In this paper, we...
Douglas L. Vail, Manuela M. Veloso, John D. Laffer...
188
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ICASSP
2009
IEEE
16 years 1 months ago
Maximum-likelihood estimation of autoregressive models with conditional independence constraints
We propose a convex optimization method for maximum likelihood estimation of autoregressive models, subject to conditional independence constraints. This problem is an extension t...
Jitkomut Songsiri, Joachim Dahl, Lieven Vandenberg...

Book
385views
17 years 5 months ago
3D Model Recognition From Stereoscopic Cues
A classic computer vision book.
J.E. W. Mayhew, J.P. Frisby