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» On distance and similarity in fold space
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ICANN
2009
Springer
15 years 4 months ago
Simbed: Similarity-Based Embedding
Simbed, standing for similarity-based embedding, is a new method of embedding high-dimensional data. It relies on the preservation of pairwise similarities rather than distances. I...
John Aldo Lee, Michel Verleysen
MINAR
1998
Springer
113views Multimedia» more  MINAR 1998»
15 years 1 months ago
Envelope Parameter Calculation of Similarity Indexing Structure
SimilarityIndexing is very importantfor content-basedretrieval on large multimedia databases, and the "tightness"of data set envelope is a factor that influences the perf...
Xuesheng Bai, Guangyou Xu, Yuanchun Shi
69
Voted
IDEAL
2005
Springer
15 years 3 months ago
Bearing Similarity Measures for Self-organizing Feature Maps
The neural representation of space in rats has inspired many navigation systems for robots. In particular, Self-Organizing (Feature) Maps (SOM) are often used to give a sense of lo...
Narongdech Keeratipranon, Frédéric M...
SEBD
1997
158views Database» more  SEBD 1997»
14 years 10 months ago
Indexing Metric Spaces with M-Tree
M-tree is a dynamic access method suitable to index generic “metric spaces”, where the function used to compute the distance between any two objects satisfies the positivity, ...
Paolo Ciaccia, Marco Patella, Fausto Rabitti, Pave...
81
Voted
KDD
2004
ACM
182views Data Mining» more  KDD 2004»
15 years 9 months ago
Rotation invariant distance measures for trajectories
For the discovery of similar patterns in 1D time-series, it is very typical to perform a normalization of the data (for example a transformation so that the data follow a zero mea...
Michail Vlachos, Dimitrios Gunopulos, Gautam Das