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» Enhancements for Local Feature Based Image Classification
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ICPR
2006
IEEE
16 years 3 months ago
Image Categorization Using Local Probabilistic Descriptors
Image categorization involves the well known difficulties with different visual appearances of a single object, but introduces also the problem of within-category variation. This ...
Dorian Suc, Jasna Maver, Katarina Mele
144
Voted
AIPR
2002
IEEE
15 years 7 months ago
ICA Mixture Model based Unsupervised Classification of Hyperspectral Imagery
Conventional remote sensing classification techniques that model the data in each class with a multivariate Gaussian distribution are inefficient, as this assumption is generally ...
Chintan A. Shah, Manoj K. Arora, Stefan A. Robila,...
EUSAI
2003
Springer
15 years 7 months ago
Vision-Based Localization for Mobile Platforms
In this paper, we describe methods to localize a mobile robot in an indoor environment from visual information. An appearance-based approach is adopted in which the environment is ...
Josep M. Porta, Ben J. A. Kröse
PSIVT
2009
Springer
400views Multimedia» more  PSIVT 2009»
15 years 9 months ago
Local Image Descriptors Using Supervised Kernel ICA
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
Masaki Yamazaki, Sidney Fels
CLOR
2006
15 years 6 months ago
A Sparse Object Category Model for Efficient Learning and Complete Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from examp...
Robert Fergus, Pietro Perona, Andrew Zisserman