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ECCV
2008
Springer
13 years 6 months ago
Multiple Instance Boost Using Graph Embedding Based Decision Stump for Pedestrian Detection
Pedestrian detection in still image should handle the large appearance and stance variations arising from the articulated structure, various clothing of human as well as viewpoints...
Junbiao Pang, Qingming Huang, Shuqiang Jiang
MMM
2008
Springer
119views Multimedia» more  MMM 2008»
13 years 11 months ago
Detecting and Clustering Multiple Takes of One Scene
Abstract. In applications such as video post-production users are confronted with large amounts of redundant unedited raw material, called rushes. Viewing and organizing this mater...
Werner Bailer, Felix Lee, Georg Thallinger
TREC
2007
13 years 6 months ago
Feed Distillation Using AdaBoost and Topic Maps
This paper retains the experiences by participating in TREC 2007 Blog Track ‘Feed Distillation’. To perform the run various classifiers are combined, which analyze title-, co...
Wai-Lung Lee, Andreas Lommatzsch, Christian Scheel
ECCV
2006
Springer
13 years 6 months ago
Robust Face Alignment Based on Hierarchical Classifier Network
Abstract. Robust face alignment is crucial for many face processing applications. As face detection only gives a rough estimation of face region, one important problem is how to al...
Li Zhang, Haizhou Ai, Shihong Lao
TMI
2010
172views more  TMI 2010»
13 years 3 months ago
Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova...