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CVIU
2006
222views more  CVIU 2006»
15 years 6 months ago
Conditional models for contextual human motion recognition
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
IJAR
2008
143views more  IJAR 2008»
15 years 6 months ago
A characterization of interval-valued residuated lattices
As is well-known, residuated lattices (RLs) on the unit interval correspond to leftcontinuous t-norms. Thus far, a similar characterization has not been found for RLs on the set o...
Bart Van Gasse, Chris Cornelis, Glad Deschrijver, ...
IJES
2008
83views more  IJES 2008»
15 years 6 months ago
Evaluating memory architectures for media applications on Coarse-grained Reconfigurable Architectures
Reconfigurable ALU Array (RAA) architectures--representing a popular class of Coarse-grained Reconfigurable Architectures--are gaining in popularity especially for media applicati...
Jong-eun Lee, Kiyoung Choi, Nikil Dutt
IJFCS
2008
49views more  IJFCS 2008»
15 years 6 months ago
A Markovian Approach for the Analysis of the gene Structure
Hidden Markov models (HMMs) are effective tools to detect series of statistically homogeneous structures, but they are not well suited to analyse complex structures. Numerous meth...
Christelle Melo de Lima, Laurent Gueguen, Christia...
ESWA
2006
105views more  ESWA 2006»
15 years 6 months ago
Predicting box-office success of motion pictures with neural networks
Predicting box-office receipts of a particular motion picture has intrigued many scholars and industry leaders as a difficult and challenging problem. In this study, the use of ne...
Ramesh Sharda, Dursun Delen
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