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» Selectivity Estimation using Probabilistic Models
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PAMI
2002
112views more  PAMI 2002»
15 years 4 months ago
Feature Space Trajectory Methods for Active Computer Vision
We advance new active object recognition algorithms that classify rigid objects and estimate their pose from intensity images. Our algorithms automatically detect if the class or p...
Michael A. Sipe, David Casasent
ACL
2006
15 years 6 months ago
Guessing Parts-of-Speech of Unknown Words Using Global Information
In this paper, we present a method for guessing POS tags of unknown words using local and global information. Although many existing methods use only local information (i.e. limit...
Tetsuji Nakagawa, Yuji Matsumoto
119
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JMLR
2010
88views more  JMLR 2010»
14 years 11 months ago
Inference and Learning in Networks of Queues
Probabilistic models of the performance of computer systems are useful both for predicting system performance in new conditions, and for diagnosing past performance problems. The ...
Charles A. Sutton, Michael I. Jordan
ACL
1998
15 years 6 months ago
Feature Lattices for Maximum Entropy Modelling
Maximum entropy framework proved to be expressive and powerful for the statistical language modelling, but it suffers from the computational expensiveness of the model building. T...
Andrei Mikheev
ICIP
2002
IEEE
15 years 10 months ago
Speeding up SSD planar tracking by pixel selection
In this paper we present a method to estimate in real-time the position and orientation of a previously viewed planar patch. The algorithm is based on minimising the sum of square...
José Miguel Buenaposada, Luis Baumela