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» Algorithmic Randomness of Closed Sets
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CVIU
2006
222views more  CVIU 2006»
15 years 3 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. ...
JUCS
2006
107views more  JUCS 2006»
15 years 3 months ago
Testing Membership in Formal Languages Implicitly Represented by Boolean Functions
Abstract: Combinatorial property testing, initiated formally by Goldreich, Goldwasser, and Ron in [Goldreich et al. (1998)] and inspired by Rubinfeld and Sudan in [Rubinfeld and Su...
Beate Bollig
PAMI
2006
143views more  PAMI 2006»
15 years 3 months ago
Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
Shihao Ji, Balaji Krishnapuram, Lawrence Carin
PE
2010
Springer
170views Optimization» more  PE 2010»
15 years 1 months ago
Approximating passage time distributions in queueing models by Bayesian expansion
We introduce Bayesian Expansion (BE), an approximate numerical technique for passage time distribution analysis in queueing networks. BE uses a class of Bayesian networks to appro...
Giuliano Casale
GLOBECOM
2009
IEEE
15 years 1 months ago
Time-Critical Data Dissemination in Cooperative Peer-to-Peer Systems
How to rapidly disseminate a large-sized file to many recipients is a fundamental problem in many applications, such as updating software patches and distributing large scientific ...
Chi-Jen Wu, Cheng-Ying Li, Kai-Hsiang Yang, Jan-Mi...