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» Boosting Object Detection Using Feature Selection
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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
131
Voted
IPMI
2007
Springer
16 years 3 months ago
Shape Regression Machine
Abstract. We present a machine learning approach called shape regression machine (SRM) to segmenting in real time an anatomic structure that manifests a deformable shape in a medic...
Shaohua Kevin Zhou, Dorin Comaniciu
SIGMOD
2003
ACM
147views Database» more  SIGMOD 2003»
16 years 2 months ago
Formal semantics and analysis of object queries
Modern database systems provide not only powerful data models but also complex query languages supporting powerful features such as the ability to create new database objects and ...
Gavin M. Bierman
CC
2005
Springer
153views System Software» more  CC 2005»
15 years 8 months ago
Completeness Analysis for Incomplete Object-Oriented Programs
We introduce a new approach, called completeness analysis, to computing points-to sets for incomplete Java programs such as library modules or applications in the presence of dynam...
Jingling Xue, Phung Hua Nguyen
143
Voted
ECCV
2010
Springer
15 years 7 months ago
Detecting ground shadows in outdoor consumer photographs
Detecting shadows from images can significantly improve the performance of several vision tasks such as object detection and tracking. Recent approaches have mainly used illuminat...