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» Feature selection based on the training set manipulation
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ECCV
2000
Springer
16 years 6 months ago
Unsupervised Learning of Models for Recognition
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
Markus Weber, Max Welling, Pietro Perona
CAIP
2011
Springer
253views Image Analysis» more  CAIP 2011»
14 years 4 months ago
Detection of Retinal Vascular Bifurcations by Trainable V4-Like Filters
Abstract. The detection of vascular bifurcations in retinal fundus images is important for finding signs of various cardiovascular diseases. We propose a novel method to detect su...
George Azzopardi, Nicolai Petkov
PAMI
2010
124views more  PAMI 2010»
14 years 11 months ago
Two-Dimensional Polar Harmonic Transforms for Invariant Image Representation
This paper introduces a set of 2D transforms, based on a set of orthogonal projection bases, to generate a set of features which are invariant to rotation. We call these transforms...
Pew-Thian Yap, Xudong Jiang, Alex ChiChung Kot
CVPR
2010
IEEE
15 years 11 months ago
Improving web-image search results using query-relative classifiers
Web image search using text queries has received considerable attention. However, current state-of-the-art approaches require training models for every new query, and are therefore...
Josip Krapac, Moray Allan, Jakob Verbeek, Frédér...
ICANN
2009
Springer
15 years 8 months ago
Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning
This paper proposes a novel Mass Spectrometry data profiling method for ovarian cancer detection based on negative correlation learning (NCL). A modified Smoothed Nonlinear Energy ...
Shan He, Huanhuan Chen, Xiaoli Li, Xin Yao