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» A Robust Minimax Approach to Classification
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IVC
2008
69views more  IVC 2008»
13 years 8 months ago
Unsupervised texture classification: Automatically discover and classify texture patterns
In this paper, we present a novel approach to classify texture collections. This approach does not require experts to provide annotated training set. Given the image collection, w...
Lei Qin, Qingfang Zheng, Shuqiang Jiang, Qingming ...
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
13 years 10 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang
ICMCS
2006
IEEE
131views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Self-Supervised Learning for Robust Video Indexing
The performance of video analysis and indexing algorithms strongly depends on the type, content and recording characteristics of the analyzed video. Current video indexing approac...
Ralph Ewerth, Bernd Freisleben
TVCG
2012
196views Hardware» more  TVCG 2012»
11 years 11 months ago
Robust Morse Decompositions of Piecewise Constant Vector Fields
—In this paper, we introduce a new approach to computing a Morse decomposition of a vector field on a triangulated manifold surface. The basic idea is to convert the input vector...
Andrzej Szymczak, Eugene Zhang
ICIP
2010
IEEE
13 years 7 months ago
Robust segmentation of lung tissue in chest CT scanning
This paper deals with segmentation of the lung tissues from low dose CT (LDCT) scans of the chest. Goal is correct segmentation as well as maintaining the details of the lung regi...
Amal A. Farag, James Graham, Aly Farag