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» Learning Visual Invariance
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3DPVT
2002
IEEE
130views Visualization» more  3DPVT 2002»
14 years 2 months ago
A Practical Approach for 3D Model Indexing by combining Local and Global Invariants
Jean-Philippe Vandeborre, Vincent Couillet, Mohame...
ML
2007
ACM
144views Machine Learning» more  ML 2007»
13 years 9 months ago
Invariant kernel functions for pattern analysis and machine learning
In many learning problems prior knowledge about pattern variations can be formalized and beneficially incorporated into the analysis system. The corresponding notion of invarianc...
Bernard Haasdonk, Hans Burkhardt
SLSFS
2005
Springer
14 years 3 months ago
Constructing Visual Models with a Latent Space Approach
We propose the use of latent space models applied to local invariant features for object classification. We investigate whether using latent space models enables to learn patterns...
Florent Monay, Pedro Quelhas, Daniel Gatica-Perez,...
ICML
2010
IEEE
13 years 11 months ago
A Theoretical Analysis of Feature Pooling in Visual Recognition
Many modern visual recognition algorithms incorporate a step of spatial `pooling', where the outputs of several nearby feature detectors are combined into a local or global `...
Y-Lan Boureau, Jean Ponce, Yann LeCun
ICANN
2010
Springer
13 years 11 months ago
A Learned Saliency Predictor for Dynamic Natural Scenes
Abstract. We investigate the extent to which eye movements in natural dynamic scenes can be predicted with a simple model of bottom-up saliency, which learns on different visual re...
Eleonora Vig, Michael Dorr, Thomas Martinetz, Erha...