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CIVR
2004
Springer
118views Image Analysis» more  CIVR 2004»
13 years 10 months ago
Use of Image Subset Features in Image Retrieval with Self-Organizing Maps
In content-based image retrieval (CBIR), the images in a database are indexed on the basis of low-level statistical features that can be automatically derived from the images. Due ...
Markus Koskela, Jorma Laaksonen, Erkki Oja
AAAI
2004
13 years 6 months ago
Self-Organizing Visual Maps
This paper deals with automatically learning the spatial distribution of a set of images. That is, given a sequence of images acquired from well-separated locations, how can they ...
Robert Sim, Gregory Dudek
FGR
2006
IEEE
170views Biometrics» more  FGR 2006»
13 years 10 months ago
The Isometric Self-Organizing Map for 3D Hand Pose Estimation
We propose an Isometric Self-Organizing Map (ISOSOM) method for nonlinear dimensionality reduction, which integrates a Self-Organizing Map model and an ISOMAP dimension reduction ...
Haiying Guan, Rogério Schmidt Feris, Matthe...
ICPR
2002
IEEE
14 years 5 months ago
Using MPEG-7 Descriptors in Image Retrieval with Self-Organizing Maps
The MPEG-7 standard is emerging as both a general framework for content description and a collection of specific, agreed-upon content descriptors. We have developed a neural, self...
Markus Koskela, Jorma Laaksonen, Erkki Oja
MLDM
2007
Springer
13 years 11 months ago
Color Reduction Using the Combination of the Kohonen Self-Organized Feature Map and the Gustafson-Kessel Fuzzy Algorithm
The color reduction in digital images is an active research area in digital image processing. In many applications such as image segmentation, analysis, compression and transmissio...
Konstantinos Zagoris, Nikos Papamarkos, Ioannis Ko...