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ICIP
2003
IEEE
14 years 9 months ago
Color photo categorization using compressed histograms and support vector machines
In this paper, an efficient method using various histogrambased (high-dimensional) image content descriptors for automatically classifying general color photos into relevant categ...
Xia Feng, Jianzhong Fang, Guoping Qiu
ML
2002
ACM
223views Machine Learning» more  ML 2002»
13 years 7 months ago
Text Categorization with Support Vector Machines. How to Represent Texts in Input Space?
The choice of the kernel function is crucial to most applications of support vector machines. In this paper, however, we show that in the case of text classification, term-frequenc...
Edda Leopold, Jörg Kindermann
ICPR
2010
IEEE
13 years 7 months ago
Adaptive Incremental Learning with an Ensemble of Support Vector Machines
The incremental updating of classifiers implies that their internal parameter values can vary according to incoming data. As a result, in order to achieve high performance, incre...
Marcelo N. Kapp, Robert Sabourin, Patrick Maupin
CCGRID
2011
IEEE
12 years 11 months ago
High Performance Pipelined Process Migration with RDMA
—Coordinated Checkpoint/Restart (C/R) is a widely deployed strategy to achieve fault-tolerance. However, C/R by itself is not capable enough to meet the demands of upcoming exasc...
Xiangyong Ouyang, Raghunath Rajachandrasekar, Xavi...
SIGGRAPH
1994
ACM
13 years 11 months ago
IRIS performer: a high performance multiprocessing toolkit for real-time 3D graphics
This paper describes the design and implementation of IRIS Performer, a toolkit for visual simulation, virtual reality, and other real-time 3D graphics applications. The principal...
John Rohlf, James Helman