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» Optimal Feature Selection for Subspace Image Matching
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EVOW
2007
Springer
15 years 5 months ago
Multiclass Object Recognition Based on Texture Linear Genetic Programming
This paper presents a linear genetic programming approach, that solves simultaneously the region selection and feature extraction tasks, that are applicable to common image recogni...
Gustavo Olague, Eva Romero, Leonardo Trujillo, Bir...
CVPR
2005
IEEE
16 years 3 months ago
A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semisupervised manner: the model is learnt from example ...
Robert Fergus, Pietro Perona, Andrew Zisserman
PAMI
2012
13 years 3 months ago
Probabilistic Models for Inference about Identity
—Many face recognition algorithms use “distance-based” methods: Feature vectors are extracted from each face and distances in feature space are compared to determine matches....
Simon Prince, Peng Li, Yun Fu, Umar Mohammed, Jame...
PR
2006
119views more  PR 2006»
15 years 1 months ago
Fingerprint matching by genetic algorithms
Fingerprint matching is still a challenging problem for reliable person authentication because of the complex distortions involved in two impressions of the same finger. In this p...
Xuejun Tan, Bir Bhanu
ECCV
2010
Springer
15 years 6 months ago
SuperParsing: Scalable Nonparametric Image Parsing with Superpixels
This paper presents a simple and effective nonparametric approach to the problem of image parsing, or labeling image regions (in our case, superpixels produced by bottom-up segmen...