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» Generalized Discriminant Analysis Using a Kernel Approach
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INFOCOM
2007
IEEE
14 years 3 months ago
Multivariate Online Anomaly Detection Using Kernel Recursive Least Squares
— High-speed backbones are regularly affected by various kinds of network anomalies, ranging from malicious attacks to harmless large data transfers. Different types of anomalies...
Tarem Ahmed, Mark Coates, Anukool Lakhina
ICCV
2005
IEEE
14 years 10 months ago
A Supervised Learning Framework for Generic Object Detection in Images
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
Saad Ali, Mubarak Shah
ANSS
2006
IEEE
14 years 2 months ago
A New Approach for Computing Conditional Probabilities of General Stochastic Processes
In this paper Hidden Markov Model algorithms are considered as a method for computing conditional properties of continuous-time stochastic simulation models. The goal is to develo...
Fabian Wickborn, Claudia Isensee, Thomas Simon, Sa...
ACL
1998
13 years 10 months ago
A Procedure for Multi-Class Discrimination and some Linguistic Applications
The paper describes a novel computational tool for multiple concept learning. Unlike previous approaches, whose major goal is prediction on unseen instances rather than the legibi...
Vladimir Pericliev, Raúl E. Valdés-P...
FGR
1998
IEEE
170views Biometrics» more  FGR 1998»
14 years 1 months ago
Feature-Point Tracking by Optical Flow Discriminates Subtle Differences in Facial Expression
Current approaches to automated analysis have focused on a small set of prototypic expressions (e.g., joy or anger). Prototypic expressions occur infrequently in everyday life, ho...
Jeffrey F. Cohn, Adena J. Zlochower, James Jenn-Ji...