Sciweavers

447 search results - page 25 / 90
» Choosing Multiple Parameters for Support Vector Machines
Sort
View
RECOMB
2007
Springer
14 years 8 months ago
Support Vector Training of Protein Alignment Models
Abstract. Sequence to structure alignment is an important step in homology modeling of protein structures. Incorporation of features like secondary structure, solvent accessibility...
Chun-Nam John Yu, Thorsten Joachims, Ron Elber, Ja...
AVSS
2007
IEEE
14 years 2 months ago
Improved one-class SVM classifier for sounds classification
This paper proposes to apply optimized One-Class Support Vector Machines (1-SVMs) as a discriminative framework in order to address a specific audio classification problem. Firs...
Asma Rabaoui, Manuel Davy, Stéphane Rossign...
CORR
2010
Springer
104views Education» more  CORR 2010»
13 years 8 months ago
Offline Signature Identification by Fusion of Multiple Classifiers using Statistical Learning Theory
This paper uses Support Vector Machines (SVM) to fuse multiple classifiers for an offline signature system. From the signature images, global and local features are extracted and ...
Dakshina Ranjan Kisku, Phalguni Gupta, Jamuna Kant...
NCA
2008
IEEE
13 years 7 months ago
Polynomial kernel adaptation and extensions to the SVM classifier learning
Three extensions to the Kernel-AdaTron training algorithm for Support Vector Machine classifier learning are presented. These extensions allow the trained classifier to adhere more...
Ramy Saad, Saman K. Halgamuge, Jason Li
ICBA
2004
Springer
205views Biometrics» more  ICBA 2004»
14 years 1 months ago
Combining Fingerprint and Voiceprint Biometrics for Identity Verification: an Experimental Comparison
Combining multiple biometrics may enhance the performance of personal authentication system in accuracy and reliability. In this paper, we compare 13 combination methods in the con...
Yuan Wang, Yunhong Wang, Tieniu Tan