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ICDAR
2005
IEEE
16 years 14 days ago
A Hierarchical Classifier Using New Support Vector Machine
A binary hierarchical classifier is proposed to solve the multi-class classification problem. We also require rejection of non-target inputs, which thus producing a very difficult...
Yu-Chiang Frank Wang, David Casasent
IJAR
2008
177views more  IJAR 2008»
15 years 6 months ago
Defining belief functions using mathematical morphology - Application to image fusion under imprecision
We address in this paper the problem of defining belief functions, typically for multi-source classification applications in image processing. We propose to use mathematical morph...
Isabelle Bloch
IJDMB
2006
86views more  IJDMB 2006»
15 years 6 months ago
Improving domain-based protein interaction prediction using biologically-significant negative dataset
: We propose a domain-based classification method to predict protein-protein interactions using probabilities of putative interacting domain pairs derived from both experimentally-...
Xiaoli Li, Soon-Heng Tan, See-Kiong Ng
HIS
2004
15 years 8 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
FLAIRS
2004
15 years 8 months ago
Knowledge Engineering of Creative Musical Expressions Using Carnatic Music Ideology
The purpose of this paper is to propose a method to analyze creative music expressions of a performer in South Indian Classical Music (Carnatic Music). The method performs a quali...
S. Ganesh Ram, C. T. Palaniappan, M. S. Ramakrishn...