876 search results - page 10 / 176 » A theory of learning with similarity functions |
CIE
2007
Springer
15 years 5 months ago
2007
Springer
In the standard model of inductive inference, a learner gets as input the graph of a function, and has to discover (in the limit) a program for the function. In this paper, we cons...
ECCV
2010
Springer
15 years 4 months ago
2010
Springer
We present a novel similarity measure for bag-of-words type large scale image retrieval. The similarity function is learned in an unsupervised manner, requires no extra space over ...
93
Voted
ICASSP
2007
IEEE
15 years 6 months ago
2007
IEEE
This paper introduces a composite learning approach for image retrieval with relevance feedback. The proposed system combines the radial basis function (RBF) based lowlevel learni...
94
Voted
CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
The required amount of labeled training data for object detection and classification is a major drawback of current methods. Combining labeled and unlabeled data via semisupervise...
ACL
2006
15 years 1 months ago
2006
In this paper we define a novel similarity measure between examples of textual entailments and we use it as a kernel function in Support Vector Machines (SVMs). This allows us to ...