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» Lattice computations for random numbers
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ICASSP
2009
IEEE
14 years 3 months ago
Maximizing global entropy reduction for active learning in speech recognition
We propose a new active learning algorithm to address the problem of selecting a limited subset of utterances for transcribing from a large amount of unlabeled utterances so that ...
Balakrishnan Varadarajan, Dong Yu, Li Deng, Alex A...

Publication
189views
15 years 7 months ago
Packet Trains-Measurements and a New Model for Computer Network Traffic
Traffic measurements on a ring local area computer network at the Massachusetts Institute of Technology are presented. The analysis of the arrival pattern shows that the arrival pr...
R. Jain, S. Routhier
AUTOMATICA
2011
13 years 15 days ago
Fast computation of minimal elementary decompositions of metabolic flux vectors
The concept of elementary flux vector is valuable in a number of applications of metabolic engineering. For instance, in metabolic flux analysis, each admissible flux vector ca...
Raphaël M. Jungers, Francisca Zamorano, Vince...
IROS
2007
IEEE
158views Robotics» more  IROS 2007»
14 years 3 months ago
Feature selection in conditional random fields for activity recognition
Abstract— Temporal classification, such as activity recognition, is a key component for creating intelligent robot systems. In the case of robots, classification algorithms mus...
Douglas L. Vail, John D. Lafferty, Manuela M. Velo...
CVPR
2006
IEEE
14 years 11 months ago
Solving Markov Random Fields using Second Order Cone Programming Relaxations
This paper presents a generic method for solving Markov random fields (MRF) by formulating the problem of MAP estimation as 0-1 quadratic programming (QP). Though in general solvi...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...