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» Dimension reduction for distance-based indexing
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PCM
2004
Springer
99views Multimedia» more  PCM 2004»
13 years 10 months ago
Indexing Issues in Supporting Similarity Searching
Indexing issues that arise in the support of similarity searching are presented. This includes a discussion of the curse of dimensionality, as well as multidimensional indexing, di...
Hanan Samet
ADC
2003
Springer
123views Database» more  ADC 2003»
13 years 9 months ago
A Distance-Based Packing Method for High Dimensional Data
Minkowski-sum cost model indicates that balanced data partitioning is not beneficial for high dimensional data. Thus we study several unbalanced partitioning methods and propose ...
Tae-wan Kim, Ki-Joune Li
SISAP
2010
IEEE
91views Data Mining» more  SISAP 2010»
12 years 11 months ago
Dimension reduction for distance-based indexing
Rui Mao, Willard L. Miranker, Daniel P. Miranker
DATESO
2004
118views Database» more  DATESO 2004»
13 years 6 months ago
LSI vs. Wordnet Ontology in Dimension Reduction for Information Retrieval
Abstract. In the area of information retrieval, the dimension of document vectors plays an important role. Firstly, with higher dimensions index structures suffer the "curse o...
Pavel Moravec, Michal Kolovrat, Václav Sn&a...
HICSS
2007
IEEE
137views Biometrics» more  HICSS 2007»
13 years 11 months ago
Essential Dimensions of Latent Semantic Indexing (LSI)
Latent Semantic Indexing (LSI) is commonly used to match queries to documents in information retrieval applications. LSI has been shown to improve retrieval performance for some, ...
April Kontostathis