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IPCV
2010
13 years 9 months ago
Video Action Recognition Using Residual Vector Quantization and Hidden Markov Models
In this paper, we discuss usage of a multi-stage Residual Vector Quantization (RVQ) strategy for human action recognition. To the best of our knowledge, this is the first reported...
Salman Aslam, Christopher F. Barnes, Aaron F. Bobi...
CGF
1999
98views more  CGF 1999»
13 years 10 months ago
Multiresolution Curve and Surface Representation: Reversing Subdivision Rules by Least-Squares Data Fitting
This work explores how three techniques for defining and representing curves and surfaces can be related efficiently. The techniques are subdivision, least-squares data fitting, a...
Faramarz F. Samavati, Richard M. Bartels
ICIP
2007
IEEE
14 years 5 months ago
Using a Markov Network to Recognize People in Consumer Images
Markov networks are an effective tool for the difficult but important problem of recognizing people in consumer image collections. Given a small set of labeled faces, we seek to ...
Andrew C. Gallagher, Tsuhan Chen
ATAL
2008
Springer
14 years 1 months ago
Controlling deliberation in a Markov decision process-based agent
Meta-level control manages the allocation of limited resources to deliberative actions. This paper discusses efforts in adding meta-level control capabilities to a Markov Decision...
George Alexander, Anita Raja, David J. Musliner
ISSAC
2001
Springer
129views Mathematics» more  ISSAC 2001»
14 years 3 months ago
Computation of the degree of rational maps between curves
The degree of a rational map measures how often the map covers the image variety. In particular, when the rational map is a parametrization, the degree measures how often the para...
J. Rafael Sendra, Franz Winkler