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PRL
2007
118views more  PRL 2007»
15 years 5 months ago
Unifying multi-class AdaBoost algorithms with binary base learners under the margin framework
Multi-class AdaBoost algorithms AdaBooost.MO, -ECC and -OC have received a great attention in the literature, but their relationships have not been fully examined to date. In this...
Yijun Sun, Sinisa Todorovic, Jian Li
ICDE
2008
IEEE
152views Database» more  ICDE 2008»
16 years 7 months ago
Efficient Merging and Filtering Algorithms for Approximate String Searches
We study the following problem: how to efficiently find in a collection of strings those similar to a given query string? Various similarity functions can be used, such as edit dis...
Chen Li, Jiaheng Lu, Yiming Lu
ICPR
2000
IEEE
16 years 7 months ago
Winner-Update Algorithm for Nearest Neighbor Search
This paper presents an algorithm, called the winnerupdate algorithm, for accelerating the nearest neighbor search. By constructing a hierarchical structure ,for each feature point...
Yong-Sheng Chen, Yi-Ping Hung, Chiou-Shann Fuh
ICIP
2009
IEEE
16 years 7 months ago
Early Terminating Algorithms For Adaboost Based Detectors
In this paper we propose an early termination algorithm for speeding up the detection phase of the Adaboost based detectors. In the basic algorithm, at a specific search location,...
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KDD
2001
ACM
216views Data Mining» more  KDD 2001»
16 years 6 months ago
The distributed boosting algorithm
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
Aleksandar Lazarevic, Zoran Obradovic