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118
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CVPR
2009
IEEE
16 years 8 months ago
An Instance Selection Approach to Multiple Instance Learning
Multiple-instance Learning (MIL) is a new paradigm of supervised learning that deals with the classification of bags. Each bag is presented as a collection of instances from whi...
Zhouyu Fu (Australian National University), Antoni...
ICCV
2009
IEEE
16 years 5 months ago
Patch based Within-Object Classification
Advances in object detection have made it possible to collect large databases of certain objects. In this paper we exploit these datasets for within-object classification. For e...
Jania Aghajanian, Jonathan Warrell, Simon J.D. Pri...
99
Voted
CVPR
2003
IEEE
16 years 2 months ago
The Optimal Distance Measure for Object Detection
We develop a multi-class object detection framework whose core component is a nearest neighbor search over object part classes. The performance of the overall system is critically...
Shyjan Mahamud, Martial Hebert
94
Voted
ECCV
2008
Springer
16 years 2 months ago
Extracting Moving People from Internet Videos
Abstract. We propose a fully automatic framework to detect and extract arbitrary human motion volumes from real-world videos collected from YouTube. Our system is composed of two s...
Juan Carlos Niebles, Bohyung Han, Andras Ferencz, ...
177
Voted
ICDE
2007
IEEE
117views Database» more  ICDE 2007»
16 years 2 months ago
Cost-Conscious Cleaning of Massive RFID Data Sets
Efficient and accurate data cleaning is an essential task for the successful deployment of RFID systems. Although important advances have been made in tag detection rates, it is s...
Hector Gonzalez, Jiawei Han, Xuehua Shen