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» Learning Visual Invariance
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ICPR
2008
IEEE
14 years 11 months ago
Unsupervised image embedding using nonparametric statistics
Embedding images into a low dimensional space has a wide range of applications: visualization, clustering, and pre-processing for supervised learning. Traditional dimension reduct...
Guobiao Mei, Christian R. Shelton
CVPR
2010
IEEE
14 years 6 months ago
Robust Classification of Objects, Faces, and Flowers Using Natural Image Statistics
Classification of images in many category datasets has rapidly improved in recent years. However, systems that perform well on particular datasets typically have one or more lim...
Christopher Kanan, Garrison Cottrell
CVPR
2008
IEEE
14 years 12 months ago
Learning on lie groups for invariant detection and tracking
Oncel Tuzel, Fatih Murat Porikli, Peter Meer
NECO
2010
129views more  NECO 2010»
13 years 8 months ago
A Two-Layer Model of Natural Stimuli Estimated with Score Matching
We consider a hierarchical two-layer model of natural signals in which both layers are learned from the data. Estimation is accomplished by Score Matching, a recently proposed est...
Urs Köster, Aapo Hyvärinen
ICRA
2003
IEEE
130views Robotics» more  ICRA 2003»
14 years 3 months ago
Application of moment invariants to visual servoing
Abstract— In this paper, we present how moment invariants can be used to design a decoupled 2D visual servoing scheme and to minimize the nonlinearity of the interaction matrix r...
Omar Tahri, François Chaumette