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» Statistical Shape Features in Content-Based Image Retrieval
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ICIAP
2005
ACM
14 years 8 months ago
A Neural Adaptive Algorithm for Feature Selection and Classification of High Dimensionality Data
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
Elisabetta Binaghi, Ignazio Gallo, Mirco Boschetti...
ICIP
1998
IEEE
14 years 9 months ago
Invariant-based Data Model for Image Databases
We describe a new invariant-based data model for image databases under our approach for shape-based retrieval. The data model relies on contours description of the image shape, an...
Michael Kliot, Ehud Rivlin
CIVR
2007
Springer
192views Image Analysis» more  CIVR 2007»
14 years 2 months ago
Texture retrieval based on a non-parametric measure for multivariate distributions
In the present study, an efficient strategy for retrieving texture images from large texture databases is introduced and studied within a distributional-statistical framework. Our...
Vasileios K. Pothos, Christos Theoharatos, George ...
CBMS
2004
IEEE
13 years 12 months ago
Image Segmentation of Uterine Cervix Images for Indexing in PACS
The National Cancer Institute has collected a large database of digitized 35mm slides of the uterine cervix, the idea being to build a system enabling to study the evolution of le...
Shiri Gordon, Gali Zimmerman, Hayit Greenspan
ICIP
2007
IEEE
14 years 2 months ago
Orthogonal Diagonal Projections for Gait Recognition
Gait has received much attention from researchers in the vision field due to its utility in walker identification. One of the key issues in gait recognition is how to extract di...
Daoliang Tan, Kaiqi Huang, Shiqi Yu, Tieniu Tan