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NIPS
2008
15 years 4 months ago
Resolution Limits of Sparse Coding in High Dimensions
This paper addresses the problem of sparsity pattern detection for unknown ksparse n-dimensional signals observed through m noisy, random linear measurements. Sparsity pattern rec...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
BMVC
1998
15 years 4 months ago
Comparing Different Template Features for Recognizing People by their Gait
To recognize people by their gait from a sequence of images, we have proposed a statistical approach which combined eigenspace transformation (EST) with canonical space transforma...
Ping S. Huang, Chris J. Harris, Mark S. Nixon
WSC
2000
15 years 4 months ago
Simulation based design for a shipyard manufacturing process
Discrete event simulation can be used for virtual prototyping of new manufacturing facilities. Models built for this purpose must be easy to use, flexible, and provide a realistic...
Deborah J. Medeiros, Mark T. Traband, April Tribbl...
ECCV
2010
Springer
15 years 4 months ago
Object of Interest Detection by Saliency Learning
In this paper, we present a method for object of interest detection. This method is statistical in nature and hinges in a model which combines salient features using a mixture of l...
ICASSP
2010
IEEE
15 years 3 months ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock