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» On Combining Classifiers
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ICPR
2002
IEEE
16 years 4 months ago
Fast Face Detection with Precise Pose Estimation
We present a fast algorithm for face detection and precise pose estimation. Our detection scheme is based on a tree-structured hierarchy of face vs. background classifiers combine...
Donald Geman, François Fleuret
ICDM
2005
IEEE
217views Data Mining» more  ICDM 2005»
15 years 8 months ago
Improving Automatic Query Classification via Semi-Supervised Learning
Accurate topical classification of user queries allows for increased effectiveness and efficiency in general-purpose web search systems. Such classification becomes critical if th...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...
135
Voted
CVPR
2009
IEEE
16 years 10 months ago
Efficient Scale Space Auto-Context for Image Segmentation and Labeling
The Conditional Random Fields (CRF) model, using patch-based classification bound with context information, has recently been widely adopted for image segmentation/ labeling. In...
Jiayan Jiang (UCLA), Zhuowen Tu (UCLA)
102
Voted
CVPR
2003
IEEE
16 years 5 months ago
Kullback-Leibler Boosting
In this paper, we develop a general classification framework called Kullback-Leibler Boosting, or KLBoosting. KLBoosting has following properties. First, classification is based o...
Ce Liu, Heung-Yeung Shum
IAT
2008
IEEE
15 years 9 months ago
A Personalized Spam Filtering Approach Utilizing Two Separately Trained Filters
By feeding personal e-mails into the training set, personalized content-based spam filters are believed to classify e-mails in higher accuracy. However, filters trained by both sp...
Wei-Lun Teng, Wei-Chung Teng