Sciweavers

1648 search results - page 317 / 330
» Training Data Selection for Support Vector Machines
Sort
View
CVPR
2008
IEEE
14 years 9 months ago
Semi-supervised SVM batch mode active learning for image retrieval
Active learning has been shown as a key technique for improving content-based image retrieval (CBIR) performance. Among various methods, support vector machine (SVM) active learni...
Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R....
ISCAS
2006
IEEE
116views Hardware» more  ISCAS 2006»
14 years 1 months ago
Signal processing for brain-computer interface: enhance feature extraction and classification
Abstract-In this paper we present a new scheme for brain imaginary movement invovles sophisticated spatial-temporalsignal processing and classification for electroencephalogram spe...
Haihong Zhang, Cuntai Guan, Yuanqing Li
TRECVID
2007
13 years 8 months ago
TRECVID 2007 High Level Feature Extraction experiments at JOANNEUM RESEARCH
This paper describes our experiments for the high level feature extraction task in TRECVid 2007. We submitted the following five runs: • A jr1 1: Baseline run using early fusio...
Roland Mörzinger, Georg Thallinger
KDD
2009
ACM
232views Data Mining» more  KDD 2009»
14 years 8 months ago
Classification of software behaviors for failure detection: a discriminative pattern mining approach
Software is a ubiquitous component of our daily life. We often depend on the correct working of software systems. Due to the difficulty and complexity of software systems, bugs an...
David Lo, Hong Cheng, Jiawei Han, Siau-Cheng Khoo,...
FLAIRS
2004
13 years 9 months ago
The Optimality of Naive Bayes
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Harry Zhang