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» Mirror Image Learning for Autoassociative Neural Networks
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TNN
2008
114views more  TNN 2008»
13 years 7 months ago
Relevance-Based Feature Extraction for Hyperspectral Images
Abstract--Hyperspectral imagery affords researchers all discriminating details needed for fine delineation of many material classes. This delineation is essential for scientific re...
Michael J. Mendenhall, Erzsébet Meré...
MM
2004
ACM
167views Multimedia» more  MM 2004»
14 years 29 days ago
Learning an image manifold for retrieval
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
Xiaofei He, Wei-Ying Ma, HongJiang Zhang
ICIP
1999
IEEE
14 years 9 months ago
Video Sequence Learning and Recognition Via Dynamic Som
Information contained in the video sequences is crucial for an autonomous robot or a computer to learn and respond to its surrounding environment. In the past, robot vision is mai...
Qiong Liu, Yong Rui, Thomas S. Huang, Stephen E. L...
IJON
2006
82views more  IJON 2006»
13 years 7 months ago
Ratio rule and homomorphic filter for enhancement of digital colour image
Digital colour image enhancement using a homomorphic filter provides good dynamic range compression, but it fails in colour rendition. In this letter, we propose to perform natura...
Ming-Jung Seow, Vijayan K. Asari
ECCV
2010
Springer
14 years 13 days ago
Learning to Detect Roads in High-Resolution Aerial Images
Abstract. Reliably extracting information from aerial imagery is a difficult problem with many practical applications. One specific case of this problem is the task of automatica...