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» Optimal Feature Selection for Subspace Image Matching
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IBPRIA
2003
Springer
15 years 6 months ago
Active Region Segmentation of Mammographic Masses Based on Texture, Contour and Shape Features
Abstract. In this paper we propose a supervised method for the segmentation of masses in mammographic images. The algorithm starts with a selected pixel inside the mass, which has ...
Joan Martí, Jordi Freixenet, Xavier Mu&ntil...
ICCV
2005
IEEE
16 years 3 months ago
A Supervised Learning Framework for Generic Object Detection in Images
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
Saad Ali, Mubarak Shah
ICPR
2008
IEEE
15 years 7 months ago
Ranking the local invariant features for the robust visual saliencies
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
Shengping Xia, Peng Ren, Edwin R. Hancock
MMM
2007
Springer
139views Multimedia» more  MMM 2007»
15 years 7 months ago
An Image Registration Method Based on the Local and Global Structures
We propose a novel feature-based image registration method using both the local and global structures of the feature points. To address various imaging conditions, we improve the l...
Nan Peng, Zhiyong Huang, Zujun Hou
NIPS
2004
15 years 2 months ago
Learning Hyper-Features for Visual Identification
We address the problem of identifying specific instances of a class (cars) from a set of images all belonging to that class. Although we cannot build a model for any particular in...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...