602 search results - page 27 / 121 » Aerial LiDAR Data Classification Using Support Vector Machin... |
TSP
2008
13 years 8 months ago
2008
We present a discriminative training algorithm, that uses support vector machines (SVMs), to improve the classification of discrete and continuous output probability hidden Markov ...
ISSRE
2005
IEEE
14 years 2 months ago
2005
IEEE
The software development process imposes major impacts on the quality of software at every development stage; therefore, a common goal of each software development phase concerns ...
BMCBI
2007
13 years 8 months ago
2007
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
IJON
2006
13 years 8 months ago
2006
Abstract. Functional data analysis is a growing research field and numerous works present a generalization of the classical statistical methods to function classification or regres...
ICANN
2001
Springer
14 years 1 months ago
2001
Springer
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...