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CVIU
2004
132views more  CVIU 2004»
13 years 8 months ago
Layered representations for learning and inferring office activity from multiple sensory channels
We present the use of layered probabilistic representations for modeling human activities, and describe how we use the representation to do sensing, learning, and inference at mul...
Nuria Oliver, Ashutosh Garg, Eric Horvitz
JMM2
2006
138views more  JMM2 2006»
13 years 8 months ago
A Framework for Constructing Real-time Immersive Environments for Training Physical Activities
Abstract-- This paper describes a framework for constructing a three-dimensional immersive environment that can be used for training physical activities. The system is designed to ...
Sang-Hack Jung, Ruzena Bajcsy
GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
14 years 3 days ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
ICPR
2004
IEEE
14 years 9 months ago
Active Learning to Recognize Multiple Types of Plankton
Andrew Remsen, Dmitry B. Goldgof, Kurt Kramer, Law...
CVPR
2006
IEEE
14 years 10 months ago
Automatic Discovery of Action Taxonomies from Multiple Views
We present a new method for segmenting actions into primitives and classifying them into a hierarchy of action classes. Our scheme learns action classes in an unsupervised manner ...
Daniel Weinland, Rémi Ronfard, Edmond Boyer