1575 search results - page 145 / 315 » Unsupervised Learning of Models for Recognition |
83
Voted
ICAPR
2005
Springer
15 years 3 months ago
2005
Springer
We present a new approach to detecting defects in random textures which requires only very few defect free samples for unsupervised training. Each product image is divided into ove...
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. A combinatorial random variable is a discrete random variable defined over a combinatorial set (e.g., a power set of a given set). In this paper we introduce combinatoria...
115
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3DIM
2011
IEEE
13 years 10 months ago
2011
IEEE
Abstract—During the last few years a wide range of algorithms and devices have been made available to easily acquire range images. To this extent, the increasing abundance of dep...
98
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CVPR
2007
IEEE
2007
IEEE
Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data
16 years 4 days ago
A popular approach to problems in image classification is to represent the image as a bag of visual words and then employ a classifier to categorize the image. Unfortunately, a si...
ICML
2007
IEEE
15 years 11 months ago
2007
IEEE
Recently, several learning algorithms relying on models with deep architectures have been proposed. Though they have demonstrated impressive performance, to date, they have only b...