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» Objective reduction using a feature selection technique
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ICDM
2006
IEEE
193views Data Mining» more  ICDM 2006»
14 years 3 months ago
Feature Subset Selection on Multivariate Time Series with Extremely Large Spatial Features
Several spatio-temporal data collected in many applications, such as fMRI data in medical applications, can be represented as a Multivariate Time Series (MTS) matrix with m rows (...
Hyunjin Yoon, Cyrus Shahabi
ECCV
2008
Springer
14 years 11 months ago
Contour Context Selection for Object Detection: A Set-to-Set Contour Matching Approach
Abstract. We introduce a shape detection framework called Contour Context Selection for detecting objects in cluttered images using only one exemplar. Shape based detection is inva...
Qihui Zhu, Liming Wang, Yang Wu, Jianbo Shi
CVPR
2008
IEEE
14 years 11 months ago
Unsupervised modeling of object categories using link analysis techniques
We propose an approach for learning visual models of object categories in an unsupervised manner in which we first build a large-scale complex network which captures the interacti...
Gunhee Kim, Christos Faloutsos, Martial Hebert
SSDBM
2003
IEEE
111views Database» more  SSDBM 2003»
14 years 2 months ago
Performance Evaluation of Spatio-temporal Selectivity Estimation Techniques
— Many novel spatio-temporal applications deal with moving objects. In such environments, a database typically maintains the initial position and the moving function for each obj...
Marios Hadjieleftheriou, George Kollios, Vassilis ...
ICRA
2008
IEEE
170views Robotics» more  ICRA 2008»
14 years 3 months ago
Human detection using iterative feature selection and logistic principal component analysis
— We present a fast feature selection algorithm suitable for object detection applications where the image being tested must be scanned repeatedly to detected the object of inter...
Wael Abd-Almageed, Larry S. Davis