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» Image Distance Using Hidden Markov Models
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ICMCS
2009
IEEE
115views Multimedia» more  ICMCS 2009»
13 years 5 months ago
A framework to detect and classify activity transitions in low-power applications
Minimizing the number of computations a low-power device makes is important to achieve long battery life. In this paper we present a framework for a low-power device to minimize t...
Jeffrey Boyd, Hari Sundaram
ICASSP
2011
IEEE
12 years 11 months ago
Automatic recognition of speech without any audio information
This article introduces automatic recognition of speech without any audio information. Movements of the tongue, lips, and jaw are tracked by an Electro-Magnetic Articulography (EM...
Panikos Heracleous, Norihiro Hagita
PR
2002
108views more  PR 2002»
13 years 7 months ago
Hyperparameter estimation for satellite image restoration using a MCMC maximum-likelihood method
The satellite image deconvolution problem is ill-posed and must be regularized. Herein, we use an edge-preserving regularization model using a ' function, involving two hyper...
André Jalobeanu, Laure Blanc-Féraud,...
CNSR
2004
IEEE
131views Communications» more  CNSR 2004»
13 years 11 months ago
Fast Flow Classification over Internet
In order to control and manage highly aggregated Internet traffic flows efficiently, we need to be able to categorize flows into distinct classes and to be knowledgeable about the...
A. Oveissian, Kavé Salamatian, Augustin Sou...
ECCV
2006
Springer
14 years 9 months ago
Detecting Instances of Shape Classes That Exhibit Variable Structure
This paper proposes a method for detecting instances of shape classes that exhibit variable structure. The term "variable structure" is used to characterize shape classes...
Vassilis Athitsos, Jingbin Wang, Stan Sclaroff, Ma...