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EMMCVPR
2007
Springer
15 years 9 months ago
Bottom-Up Recognition and Parsing of the Human Body
Recognizing humans, estimating their pose and segmenting their body parts are key to high-level image understanding. Because humans are highly articulated, the range of deformation...
Praveen Srinivasan, Jianbo Shi
139
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AI
1999
Springer
15 years 3 months ago
Learning by Discovering Concept Hierarchies
We present a new machine learning method that, given a set of training examples, induces a definition of the target concept in terms of a hierarchy of intermediate concepts and th...
Blaz Zupan, Marko Bohanec, Janez Demsar, Ivan Brat...
148
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BMVC
2010
15 years 1 months ago
Manifold Learning for ToF-based Human Body Tracking and Activity Recognition
In this paper, we propose a method for simultaneous human full-body pose tracking and activity recognition from time-of-flight (ToF) camera images. Simple and sparse depth cues ar...
Loren Arthur Schwarz, Diana Mateus, Victor Castane...
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
15 years 1 months ago
Uncertainty handling CMA-ES for reinforcement learning
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
Verena Heidrich-Meisner, Christian Igel
117
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BMCBI
2007
120views more  BMCBI 2007»
15 years 3 months ago
Non-coding sequence retrieval system for comparative genomic analysis of gene regulatory elements
Background: Completion of the human genome sequence along with other species allows for greater understanding of the biochemical mechanisms and processes that govern healthy as we...
Sung Tae Doh, Yunyu Zhang, Matthew H. Temple, Li C...