251 search results - page 9 / 51 » Semi-supervised boosting using visual similarity learning |
ICASSP
2010
IEEE
13 years 4 months ago
2010
IEEE
We propose a new approach to semi-supervised clustering that utilizes boosting to simultaneously learn both a similarity measure and a clustering of the data from given instancele...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
In this paper we propose and evaluate an algorithm that learns a similarity measure for comparing never seen objects. The measure is learned from pairs of training images labeled ...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
Boosting-basedmethods have recently led to the state-ofthe-art face detection systems. In these systems, weak classifiers to be boosted are based on simple, local, Haar-like featu...
ACCV
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Computation time is an important performance characteristic of computer vision algorithms. This paper shows how existing (slow) binary-valued decision algorithms can be a...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Traditional machine learning makes a basic assumption: the training and test data should be under the same distribution. However, in many cases, this identicaldistribution assumpt...