53 search results - page 5 / 11 » Support Vector Machine for Regression and Applications to Fi... |
DMIN
2006
13 years 8 months ago
2006
- In this paper we propose a new methodology for Cost-Benefit analysis in a multiple time series prediction problem. The proposed model is evaluated in a real world application bas...
NN
2007
Springer
13 years 6 months ago
2007
Springer
A number of machine learning (ML) techniques have recently been proposed to solve color constancy problem in computer vision. Neural networks (NNs) and support vector regression (...
KDD
2006
ACM
14 years 7 months ago
2006
ACM
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
ICCV
2001
IEEE
14 years 9 months ago
2001
IEEE
This paper presents a novel landmark-based shape deformation method. This method effectively solves two problems inherent in landmark-based shape deformation: (a) identification o...
CVPR
2009
IEEE
14 years 11 months ago
2009
IEEE
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...