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» Handling variations and uncertainties
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BMVC
2000
13 years 10 months ago
Resolving Visual Uncertainty and Occlusion through Probabilistic Reasoning
Tracking interacting human body parts from a single two-dimensional view is difficult due to occlusion, ambiguity and spatio-temporal discontinuities. We present a Bayesian networ...
Jamie Sherrah, Shaogang Gong
ICPR
2004
IEEE
14 years 9 months ago
Selective Sampling Based on the Variation in Label Assignments
In this paper, a new selective sampling method for the active learning framework is presented. Initially, a small training set ? and a large unlabeled set ? are given. The goal is...
Piotr Juszczak, Robert P. W. Duin
ASPDAC
2006
ACM
118views Hardware» more  ASPDAC 2006»
14 years 2 months ago
A probabilistic analysis of pipelined global interconnect under process variations
— The main thesis of this paper is to perform a reliability based performance analysis for a shared latch inserted global interconnect under uncertainty. We first put forward a ...
Navneeth Kankani, Vineet Agarwal, Janet Meiling Wa...
PAMI
2006
143views more  PAMI 2006»
13 years 8 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
TIP
2011
231views more  TIP 2011»
13 years 3 months ago
Variational Bayesian Super Resolution
—In this paper, we address the super resolution (SR) problemfromasetofdegradedlowresolution(LR)imagestoobtain a high resolution (HR) image. Accurate estimation of the sub-pixel m...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...