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» On Combining Classifiers
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ICAI
2010
13 years 8 months ago
Using Sensor Sequences for Activity Recognition by Mining and Multi-Class Adaboost
- In this paper, we present an activity recognition system using sensor sequence information generated from many binary on-off state sensors. When many sensors are deployed the num...
Md. Kamrul Hasan, Sungyoung Lee, Young-Koo Lee
PAMI
2008
208views more  PAMI 2008»
13 years 10 months ago
BoostMap: An Embedding Method for Efficient Nearest Neighbor Retrieval
This paper describes BoostMap, a method for efficient nearest neighbor retrieval under computationally expensive distance measures. Database and query objects are embedded into a v...
Vassilis Athitsos, Jonathan Alon, Stan Sclaroff, G...
JCIT
2008
117views more  JCIT 2008»
13 years 10 months ago
The New Face Recognition Technique With the use of PCA and LDA
Image recognition using various image classifiers is an active research area. In this paper we will describe a new face recognition method based on PCA (Principal Component Analys...
Seyed Zeinolabedin Moussavi, Saeedreza Ehteram, Al...
ECAI
2004
Springer
14 years 3 months ago
Stacked Generalization for Information Extraction
1 This paper defines a new stacked generalization framework in the context of information extraction (IE) from online sources. The proposed setting removes the constraint of apply...
Georgios Sigletos, Georgios Paliouras, Constantine...
COLT
1998
Springer
14 years 2 months ago
Large Margin Classification Using the Perceptron Algorithm
We introduce and analyze a new algorithm for linear classification which combines Rosenblatt's perceptron algorithm with Helmbold and Warmuth's leave-one-out method. Like...
Yoav Freund, Robert E. Schapire