329 search results - page 7 / 66 » Learning Compositional Categorization Models |
NIPS
2004
13 years 9 months ago
2004
We present a probabilistic approach to learning a Gaussian Process classifier in the presence of unlabeled data. Our approach involves a "null category noise model" (NCN...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
We propose a new multiple instance learning (MIL) algorithm to learn image categories. Unlike existing MIL algorithms, in which the individual instances in a bag are assumed to be...
ECCV
2010
Springer
13 years 11 months ago
2010
Springer
Abstract. Visual dictionary learning and base (binary) classifier training are two basic problems for the recently most popular image categorization framework, which is based on t...
ICADL
2007
Springer
14 years 1 months ago
2007
Springer
With the rapid emergence and proliferation of Internet and the trend of globalization, a tremendous amount of textual documents written in different languages are electronically ac...
ICCV
2005
IEEE
14 years 1 months ago
2005
IEEE
This paper presents a new algorithm for the automatic recognition of object classes from images (categorization). Compact and yet discriminative appearance-based object class mode...