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» The Convergence Rate of AdaBoost
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ICB
2007
Springer
683views Biometrics» more  ICB 2007»
15 years 8 months ago
Face Detection Based on Multi-Block LBP Representation
Effective and real-time face detection has been made possible by using the method of rectangle Haar-like features with AdaBoost learning since Viola and Jones’ work [12]. In this...
Lun Zhang, Rufeng Chu, Shiming Xiang, ShengCai Lia...
BMCBI
2004
176views more  BMCBI 2004»
15 years 1 months ago
Boosting accuracy of automated classification of fluorescence microscope images for location proteomics
Background: Detailed knowledge of the subcellular location of each expressed protein is critical to a full understanding of its function. Fluorescence microscopy, in combination w...
Kai Huang, Robert F. Murphy
SDM
2012
SIAM
304views Data Mining» more  SDM 2012»
13 years 4 months ago
Robust Reputation-Based Ranking on Bipartite Rating Networks
With the growth of the Internet and E-commerce, bipartite rating networks are ubiquitous. In such bipartite rating networks, there exist two types of entities: the users and the o...
Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng
JMLR
2012
13 years 4 months ago
Minimax Rates of Estimation for Sparse PCA in High Dimensions
We study sparse principal components analysis in the high-dimensional setting, where p (the number of variables) can be much larger than n (the number of observations). We prove o...
Vincent Q. Vu, Jing Lei
KDD
2006
ACM
170views Data Mining» more  KDD 2006»
16 years 2 months ago
Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Tosh...