29 search results - page 3 / 6 » An experimental comparison of machine learning for adaptive ... |
CVPR
2007
IEEE
14 years 18 days ago
2007
IEEE
This paper describes a local ensemble kernel learning technique to recognize/classify objects from a large number of diverse categories. Due to the possibly large intraclass featu...
PREMI
2007
Springer
14 years 11 days ago
2007
Springer
Abstract. This paper presents an architecture that enables the recognizer to learn incrementally and, thereby adapt to document image collections for performance improvement. We ar...
APBC
2003
13 years 7 months ago
2003
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it e...
ICML
2009
IEEE
14 years 7 months ago
2009
IEEE
This paper addresses the problem of approximate singular value decomposition of large dense matrices that arises naturally in many machine learning applications. We discuss two re...
ECML
2001
Springer
13 years 10 months ago
2001
Springer
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciï...