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ICIP
2006
IEEE
14 years 10 months ago
2006
IEEE
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
ICCV
2005
IEEE
14 years 10 months ago
2005
IEEE
Current approaches to object category recognition require datasets of training images to be manually prepared, with varying degrees of supervision. We present an approach that can...
CIVR
2007
Springer
14 years 2 months ago
2007
Springer
In this paper, we develop a system to classify the outputs of image segmentation algorithms as perceptually relevant or perceptually irrelevant with respect to human perception. T...
ICIP
2003
IEEE
14 years 1 months ago
2003
IEEE
This paper describes a two-stage system for the recognition of postage meter values. A feed-forward Neural Abstraction Pyramid is initialized in an unsupervised manner and trained...
PSIVT
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. Most previous methods for generic object recognition explicitly or implicitly assume that an image contains objects from a single category, although objects from multiple...