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» Bearing Similarity Measures for Self-organizing Feature Maps
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CVPR
2006
IEEE
14 years 1 months ago
Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion
The performance of many computer vision and machine learning algorithms critically depends on the quality of the similarity measure defined over the feature space. Previous works...
Xiaoyang Tan, Songcan Chen, Jun Li, Zhi-Hua Zhou
BIBE
2008
IEEE
121views Bioinformatics» more  BIBE 2008»
14 years 2 months ago
Joining retinal vessel segments
—A new method is introduced for joining vessel segments together to form a vessel graph. Using a reference image set from the Sunderland Eye Infirmary, we analysed the retinal b...
Bashir Al-Diri, Andrew Hunter, David Steel, Maged ...
GIS
2005
ACM
14 years 8 months ago
Towards topological consistency and similarity of multiresolution geographical maps
Several application contexts require the ability to use together and compare different geographic datasets (maps) concerning the same or overlapping areas. This is for example the...
Alberto Belussi, Barbara Catania, Paola Podest&agr...
WSOM
2009
Springer
14 years 5 days ago
Optimal Combination of SOM Search in Best-Matching Units and Map Neighborhood
Abstract. The distribution of a class of objects, such as images depicting a specific topic, can be studied by observing the best-matching units (BMUs) of the objects’ feature v...
Mats Sjöberg, Jorma Laaksonen
ICCBR
2007
Springer
14 years 1 months ago
A Methodology for Analyzing Case Retrieval from a Clustered Case Memory
Abstract. Case retrieval from a clustered case memory consists in finding out the clusters most similar to the new input case, and then retrieving the cases from them. Although th...
Albert Fornells, Elisabet Golobardes, Josep Maria ...