189 search results - page 8 / 38 » Unsupervised Selective Transfer Learning for Object Recognit... |
AAAI
2008
13 years 10 months ago
2008
The objective of this paper is to study the existing methods for unsupervised object recognition and image categorization and propose a model that can learn directly from the outp...
ECCV
2010
Springer
14 years 1 months ago
2010
Springer
Abstract. We propose a novel method for unsupervised class segmentation on a set of images. It alternates between segmenting object instances and learning a class model. The method...
IJCNN
2000
IEEE
14 years 9 days ago
2000
IEEE
In the field of pattern recognition, the combination of an ensemble of neural networks has been proposed as an approach to the development of high performance image classification...
ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
CVPR
2004
IEEE
14 years 10 months ago
2004
IEEE
A key problem in learning multiple objects from unlabeled images is that it is a priori impossible to tell which part of the image corresponds to each individual object, and which...