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» Learning an image manifold for retrieval
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PR
2006
141views more  PR 2006»
13 years 8 months ago
Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
Hong Chang, Dit-Yan Yeung, William K. Cheung
CIVR
2003
Springer
133views Image Analysis» more  CIVR 2003»
14 years 2 months ago
A Closer Look at Boosted Image Retrieval
Margin-maximizing techniques such as boosting have been generating excitement in machine learning circles for several years now. Although these techniques offer significant impro...
Nicholas R. Howe
ICPR
2002
IEEE
14 years 10 months ago
Unsupervised Learning Using Locally Linear Embedding: Experiments with Face Pose Analysis
This paper considers a recently proposed method for unsupervised learning and dimensionality reduction, locally linear embedding (LLE). LLE computes a compact representation of hi...
Abdenour Hadid, Matti Pietikäinen, Olga Kouro...
ICMCS
2006
IEEE
125views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Usability Evaluation for Image Retrieval Beyond Desktop Applications
Interactivity is a key concept in modern content-based retrieval. Therefore, in addition to the ability to learn from user generated data, easy and intuitive to use interfaces are...
Thomas Käster, Michael Pfeiffer, Christian Ba...
WILF
2009
Springer
196views Fuzzy Logic» more  WILF 2009»
14 years 1 months ago
Interactive Image Retrieval in a Fuzzy Framework
In this paper, an interactive image retrieval scheme using MPEG-7 visual descriptors is proposed. The performance of image retrieval systems is still limited due to semantic gap, w...
Malay Kumar Kundu, Minakshi Banerjee, Priyank Bagr...