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CAIP
2003
Springer
184views Image Analysis» more  CAIP 2003»
14 years 2 months ago
Multi-class Support Vector Machines with Case-Based Combination for Face Recognition
Abstract. The support vector machine is basically to deal with a two-class classification problem. To get M-class classifiers for face recognition, it is common to construct a set ...
Jaepil Ko, Hyeran Byun
ICMLA
2003
13 years 10 months ago
Robust Support Vector Machines for Anomaly Detection in Computer Security
— Using the 1998 DARPA BSM data set collected at MIT’s Lincoln Labs to study intrusion detection systems, the performance of robust support vector machines (RVSMs) was compared...
Wenjie Hu, Yihua Liao, V. Rao Vemuri
FECS
2010
161views Education» more  FECS 2010»
13 years 7 months ago
Distributed Laboratories: A Finite State Machine Module
: This paper presents an experimental module for teaching finite state machine concepts. This module is designed for use in a lecture-based course that does not currently have a la...
Bonnie Ferri, Jill Auerbach, Hongyi Qu
AAI
2011
197views Algorithms» more  AAI 2011»
13 years 29 days ago
Document Translation Retrieval Based on Statistical Machine Translation Techniques
We compare different strategies to apply statistical machine translation techniques in order to retrieve documents which are a plausible translation of a given source document. Fi...
Felipe Sánchez-Martínez, Rafael C. C...
ICML
2008
IEEE
14 years 10 months ago
Classification using discriminative restricted Boltzmann machines
Recently, many applications for Restricted Boltzmann Machines (RBMs) have been developed for a large variety of learning problems. However, RBMs are usually used as feature extrac...
Hugo Larochelle, Yoshua Bengio