93 search results - page 7 / 19 » Learning kernels from indefinite similarities |
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Learning models for recognizing objects with few or no training examples is important, due to the intrinsic longtailed distribution of objects in the real world. In this paper, we...
DAGM
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. Approximations based on random Fourier features have recently emerged as an efficient and elegant methodology for designing large-scale kernel machines [4]. By expressing...
PKDD
2009
Springer
14 years 1 months ago
2009
Springer
Abstract. We present a method for applying machine learning algorithms to the automatic classification of astronomy star surveys using time series of star brightness. Currently su...
JAIR
2010
13 years 5 months ago
2010
This paper discusses the problem of marrying structural similarity with semantic relatedness for Information Extraction from text. Aiming at accurate recognition of relations, we ...
CVPR
2010
IEEE
13 years 5 months ago
2010
IEEE
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...