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» Handling variations and uncertainties
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BMVC
2000
15 years 7 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
170
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ICPR
2004
IEEE
16 years 7 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»
15 years 12 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»
15 years 5 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»
15 years 10 days 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...