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ICASSP
2011
IEEE
13 years 2 months ago
Discriminative training for Bayesian sensing hidden Markov models
We describe feature space and model space discriminative training for a new class of acoustic models called Bayesian sensing hidden Markov models (BS-HMMs). In BS-HMMs, speech dat...
George Saon, Jen-Tzung Chien
GLOBECOM
2007
IEEE
14 years 2 months ago
Bursty Traffic in Energy-Constrained Opportunistic Spectrum Access
We design opportunistic spectrum access strategies for improving spectrum efficiency. In each slot, a secondary user chooses a subset of channels to sense and decides whether to ac...
Yunxia Chen, Qing Zhao, Ananthram Swami
ICIP
2008
IEEE
14 years 5 months ago
MAP-MRF approach for binarization of degraded document image
We propose an algorithm for the binarization of document images degraded by uneven light distribution, based on the Markov Random Field modeling with Maximum A Posteriori probabil...
Jung Gap Kuk, Nam Ik Cho, Kyoung Mu Lee
FCCM
2006
IEEE
106views VLSI» more  FCCM 2006»
14 years 5 months ago
Scalable Hardware Architecture for Real-Time Dynamic Programming Applications
Abstract— This paper introduces a novel architecture for performing the core computations required by dynamic programming (DP) techniques. The latter pertain to a vast range of a...
Brad Matthews, Itamar Elhanany
ISSS
1999
IEEE
121views Hardware» more  ISSS 1999»
14 years 3 months ago
Event-Driven Power Management of Portable Systems
The policy optimization problem for dynamic power management has received considerable attention in the recent past. We formulate policy optimization as a constrained optimization...
Tajana Simunic, Giovanni De Micheli, Luca Benini