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ICML
2005
IEEE
14 years 9 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
14 years 2 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
PARELEC
2006
IEEE
14 years 2 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»
13 years 10 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
EXPERT
2002
129views more  EXPERT 2002»
13 years 8 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