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» Selecting for evolvable representations
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CVPR
2003
IEEE
14 years 10 months ago
Object Class Recognition by Unsupervised Scale-Invariant Learning
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...
Robert Fergus, Pietro Perona, Andrew Zisserman
ICIP
2006
IEEE
14 years 9 months ago
Keyframe Animation from Video
This paper proposes a method for analyzing and synthesizing video sequences, specifically suited for image sequences of natural phenomena. We combine a low-dimensional representat...
Timo Stich, Marcus A. Magnor
ICIP
2006
IEEE
14 years 9 months ago
Adaptive Region-Based Compression of Multispectral Images
The region-based description of multispectral images enables important high-level tasks such as data mining and retrieval, and region-of-interest selection. In order to obtain an ...
Marco Cagnazzo, Raffaele Gaetano, Sara Parrilli, L...
ICIP
2005
IEEE
14 years 9 months ago
An adaptive linear system framework for image distortion analysis
We describe a framework for decomposing the distortion between two images into a linear combination of components. Unlike conventional linear bases such as those in Fourier or wav...
Zhou Wang, Eero P. Simoncelli
ICIP
2002
IEEE
14 years 9 months ago
Scalable compression of volumetric images
An important problem in medical imaging is that of ef?cient volumetric image compression. In addition to compression ef?ciency, scalable representations which allow access to the ...
Andrew Secker, Raymond Leung, David Taubman