178 search results - page 25 / 36 » Extensions of Manifold Learning Algorithms in Kernel Feature... |
PAKDD
2010
ACM
13 years 5 months ago
2010
ACM
Data mining tasks results are usually improved by reducing the dimensionality of data. This improvement however is achieved harder in the case that data lay on a non linear manifol...
AAAI
2010
13 years 9 months ago
2010
In many real world applications, labeled data are usually expensive to get, while there may be a large amount of unlabeled data. To reduce the labeling cost, active learning attem...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
We present a new approach, called local discriminant embedding (LDE), to manifold learning and pattern classification. In our framework, the neighbor and class relations of data a...
TMM
2010
13 years 2 months ago
2010
Abstract--Automatic video annotation is a challenging yet important problem for content-based video indexing and retrieval. In most existing works, annotation is formulated as a mu...
ALT
2006
Springer
14 years 4 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...