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» Objective Functions for Feature Discrimination
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ECCV
2000
Springer
16 years 4 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
ICIP
2008
IEEE
16 years 4 months ago
Automatic liver tumor diagnosis with Dynamic-Contrast Enhanced MRI
Dynamic-Contrast Enhanced MRI (DCE-MRI) is currently used as a complementary diagnosis tool to assess the malignancy of the liver tumor, called hepatoma, hepatocarcinoma, hepatoce...
Liliana Caldeira, Isabela Silva, João Sanch...
96
Voted
ICCV
2009
IEEE
16 years 7 months ago
Context by Region Ancestry
In this paper, we introduce a new approach for modeling visual context. For this purpose, we consider the leaves of a hierarchical segmentation tree as elementary units. Each le...
Joseph J. Lim, Pablo Arbelaez, Chunhui Gu, and Jit...
134
Voted
DAGM
2008
Springer
15 years 4 months ago
An Evolutionary Approach for Learning Motion Class Patterns
This article presents a genetic learning algorithm to derive discrete patterns that can be used for classification and retrieval of 3D motion capture data. Based on boolean motion ...
Meinard Müller, Bastian Demuth, Bodo Rosenhah...
111
Voted
ICDE
2006
IEEE
132views Database» more  ICDE 2006»
15 years 8 months ago
Treatment of Rules in Individual Metadata of Flexible Contents Management
The properties of contents stored in a computer system are very wide while the data volume treated in the system becomes very large. It is important to treat each stored object in...
Kensuke Ohta, Dai Kobayashi, Takashi Kobayashi, Ry...