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» Predicting Time Series with Support Vector Machines
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110
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ICPR
2006
IEEE
16 years 4 months ago
GMM-based SVM for face recognition
A new face recognition algorithm is presented. It supposes that a video sequence of a person is available both at enrollment and test time. During enrollment, a client Gaussian Mi...
Gérard Chollet, Hervé Bredin, Najim ...
139
Voted
MST
1998
91views more  MST 1998»
15 years 3 months ago
An Experimental Analysis of Parallel
We have developed a methodology for predicting the performance of parallel algorithms on real parallel machines. The methodology consists of two steps. First, we characterize a mac...
Guy E. Blelloch, Charles E. Leiserson
122
Voted
BMCBI
2007
83views more  BMCBI 2007»
15 years 3 months ago
Identification of sequence motifs significantly associated with antisense activity
Background: Predicting the suppression activity of antisense oligonucleotide sequences is the main goal of the rational design of nucleic acids. To create an effective predictive ...
Kyle A. McQuisten, Andrew S. Peek
122
Voted
ECML
2007
Springer
15 years 7 months ago
Modeling Highway Traffic Volumes
Most traffic management and optimization tasks, such as accident detection or optimal vehicle routing, require an ability to adequately model, reason about and predict irregular an...
Tomás Singliar, Milos Hauskrecht
139
Voted
WISES
2003
15 years 5 months ago
Using a Java Optimized Processor in a Real World Application
— Java, a popular programming language on desktop systems, is rarely used in embedded systems. Some features of Java, like thread support in the language, could greatly simplify ...
Martin Schoeberl