60 search results - page 11 / 12 » Vector Quantizing Feature Space with a Regular Lattice |
NIPS
2001
13 years 7 months ago
2001
Abstract--Kernel-based algorithms such as support vector machines have achieved considerable success in various problems in batch setting, where all of the training data is availab...
CVPR
2003
IEEE
14 years 7 months ago
2003
IEEE
12 In this paper we study the problem of shape analysis and its application in locating facial feature points on frontal faces. We propose a Bayesian inference solution based on ta...
CEC
2005
IEEE
13 years 7 months ago
2005
IEEE
Abstract— Nonlinear mapping is an approach of multidimensional scaling where a high-dimensional space is transformed into a lower-dimensional space such that the topological char...
ALT
2006
Springer
14 years 2 months ago
2006
Springer
This paper presents a novel paradigm for learning languages that consists of mapping strings to an appropriate high-dimensional feature space and learning a separating hyperplane i...
CVPR
2003
IEEE
14 years 7 months ago
2003
IEEE
We consider the problem of learning with instances defined over a space of sets of vectors. We derive a new positive definite kernel f(A B) defined over pairs of matrices A B base...