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DCC
2005
IEEE
14 years 9 months ago
Asymptotics of the Entropy Rate for a Hidden Markov Process
We calculate the Shannon entropy rate of a binary Hidden Markov Process (HMP), of given transition rate and noise (emission), as a series expansion in . The first two orders are ca...
Or Zuk, Ido Kanter, Eytan Domany
ICCAD
2007
IEEE
132views Hardware» more  ICCAD 2007»
14 years 7 months ago
Principle Hessian direction based parameter reduction with process variation
— As CMOS technology enters the nanometer regime, the increasing process variation is bringing manifest impact on circuit performance. In this paper, we propose a Principle Hessi...
Alexander V. Mitev, Michael Marefat, Dongsheng Ma,...
ICPR
2008
IEEE
14 years 4 months ago
Tracking human body by using particle filter Gaussian process Markov-switching model
The goal of this article is to present an effective and robust tracking algorithm for nonlinear feet motion by deploying particle filter integrated with Gaussian process latent v...
Jing Wang, Hong Man, Yafeng Yin
MLMI
2007
Springer
14 years 4 months ago
Gaussian Process Latent Variable Models for Human Pose Estimation
We describe a method for recovering 3D human body pose from silhouettes. Our model is based on learning a latent space using the Gaussian Process Latent Variable Model (GP-LVM) [1]...
Carl Henrik Ek, Philip H. S. Torr, Neil D. Lawrenc...
ICSM
2006
IEEE
14 years 4 months ago
Exploiting the Analogy Between Traces and Signal Processing
The main challenge of dynamic analysis is the huge volume of data, making it difficult to extract high level views. Most techniques developed so far adopt a finegrained approach ...
Adrian Kuhn, Orla Greevy