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» A Training Method with Small Computation for Classification
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DCC
2006
IEEE
14 years 7 months ago
Low-Complexity Compression of Short Messages
We describe a low-complexity scheme for lossless compression of short text messages. The method uses arithmetic coding and a specific statistical context model for prediction of s...
Stephan Rein, Clemens Gühmann, Frank H. P. Fi...
CG
2006
Springer
13 years 10 months ago
Feature Construction for Reinforcement Learning in Hearts
Temporal difference (TD) learning has been used to learn strong evaluation functions in a variety of two-player games. TD-gammon illustrated how the combination of game tree search...
Nathan R. Sturtevant, Adam M. White
CVPR
2009
IEEE
15 years 3 months ago
On Compositional Image Alignment with an Application to Active Appearance Models
Efficient and accurate fitting of Active Appearance Models (AAM) is a key requirement for many applications. The most efficient fitting algorithm today is Inverse Compositional ...
Brian Amberg (University of Basel), Andrew Blake (...
CVPR
2006
IEEE
14 years 10 months ago
Aligning ASL for Statistical Translation Using a Discriminative Word Model
We describe a method to align ASL video subtitles with a closed-caption transcript. Our alignments are partial, based on spotting words within the video sequence, which consists o...
Ali Farhadi, David A. Forsyth
CVPR
2007
IEEE
14 years 10 months ago
Combining Static Classifiers and Class Syntax Models for Logical Entity Recognition in Scanned Historical Documents
Class syntax can be used to 1) model temporal or locational evolvement of class labels of feature observation sequences, 2) correct classification errors of static classifiers if ...
Song Mao, Praveer Mansukhani, George R. Thoma