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ICML
2005
IEEE
16 years 3 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
DAGM
2004
Springer
15 years 8 months ago
Silhouette Based Human Motion Estimation
This paper proposes a system for model based human motion estimation. We start with a human model generation system, which uses a set of input images to automatically generate a f...
Bodo Rosenhahn, Reinhard Klette, Gerald Sommer
118
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PARELEC
2006
IEEE
15 years 8 months ago
Hierarchical Partitioning for Piecewise Linear Algorithms
processor arrays can be used as accelerators for a plenty of data flow-dominant applications. The explosive growth in research and development of massively parallel processor arr...
Hritam Dutta, Frank Hannig, Jürgen Teich
WSCG
2004
127views more  WSCG 2004»
15 years 3 months ago
Registration Tasks for a Hybrid Tracking System for Medical Augmented Reality
Tracking technologies for medical Virtual or Augmented Reality (VR/AR) applications have to fulfill demanding requirements. A hybrid tracking system can merge positive attributes ...
Bernd Schwald, Helmut Seibert
97
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EXPERT
2002
129views more  EXPERT 2002»
15 years 2 months ago
Modeling and Simulating Work Practice: A Method for Work Systems Design
er than abstracting human behavior as work processes or tasks--functional idealizations of the work to be accomplished--we model people's activities comprehensively and chrono...
Maarten Sierhuis, William J. Clancey