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» Predicting Time Series with Support Vector Machines
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ICIP
2006
IEEE
16 years 5 months ago
Knowledge-Based Supervised Learning Methods in a Classical Problem of Video Object Tracking
In this paper we present a new scheme for detection and tracking of specific objects in a knowledge-based framework. The scheme uses a supervised learning method: Support Vector M...
Lionel Carminati, Jenny Benois-Pineau, Christian J...
132
Voted
FGR
2006
IEEE
175views Biometrics» more  FGR 2006»
15 years 9 months ago
Fully Automatic Facial Action Recognition in Spontaneous Behavior
We present results on a user independent fully automatic system for real time recognition of facial actions from the Facial Action Coding System (FACS). The system automatically d...
Marian Stewart Bartlett, Gwen Littlewort, Mark G. ...
108
Voted
PAMI
2010
122views more  PAMI 2010»
15 years 1 months ago
Domain Adaptation Problems: A DASVM Classification Technique and a Circular Validation Strategy
—This paper addresses pattern classification in the framework of domain adaptation by considering methods that solve problems in which training data are assumed to be available o...
Lorenzo Bruzzone, Mattia Marconcini
136
Voted
IPPS
2003
IEEE
15 years 8 months ago
Homeostatic and Tendency-Based CPU Load Predictions
The dynamic nature of a resource-sharing environment means that applications must be able to adapt their behavior in response to changes in system status. Predictions of future sy...
Lingyun Yang, Ian T. Foster, Jennifer M. Schopf
163
Voted
PAKDD
2009
ACM
233views Data Mining» more  PAKDD 2009»
15 years 8 months ago
A Kernel Framework for Protein Residue Annotation
Abstract. Over the last decade several prediction methods have been developed for determining structural and functional properties of individual protein residues using sequence and...
Huzefa Rangwala, Christopher Kauffman, George Kary...