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ECML
2001
Springer
13 years 12 months ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciļ...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...
CVPR
2009
IEEE
1390views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning
In this paper we present a method for learning classspecific features for recognition. Recently a greedy layerwise procedure was proposed to initialize weights of deep belief ne...
Mohammad Norouzi (Simon Fraser University), Mani R...
ICIAP
1997
ACM
13 years 11 months ago
Color Based Object Recognition
The purpose is to arrive at recognition of multicolored objects invariant to a substantial change in viewpoint, object geometry and illumination. Assuming dichromatic reļ¬‚ectance...
Theo Gevers, Arnold W. M. Smeulders
SCIA
2007
Springer
114views Image Analysis» more  SCIA 2007»
14 years 1 months ago
Object Recognition Using Frequency Domain Blur Invariant Features
In this paper, we propose novel blur invariant features for the recognition of objects in images. The features are computed either using the phase-only spectrum or bispectrum of th...
Ville Ojansivu, Janne Heikkilä
NIPS
1997
13 years 8 months ago
Just One View: Invariances in Inferotemporal Cell Tuning
In macaque inferotemporal cortex (IT), neurons have been found to respond selectively to complex shapes while showing broad tuning (ā€œinvarianceā€) with respect to stimulus tran...
Maximilian Riesenhuber, Tomaso Poggio