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» A New Indexing Method for High Dimensional Dataset
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ICML
2010
IEEE
13 years 9 months ago
The Elastic Embedding Algorithm for Dimensionality Reduction
We propose a new dimensionality reduction method, the elastic embedding (EE), that optimises an intuitive, nonlinear objective function of the low-dimensional coordinates of the d...
Miguel Á. Carreira-Perpiñán
VLDB
2008
ACM
147views Database» more  VLDB 2008»
14 years 8 months ago
Tree-based partition querying: a methodology for computing medoids in large spatial datasets
Besides traditional domains (e.g., resource allocation, data mining applications), algorithms for medoid computation and related problems will play an important role in numerous e...
Kyriakos Mouratidis, Dimitris Papadias, Spiros Pap...
VLDB
2007
ACM
197views Database» more  VLDB 2007»
14 years 8 months ago
Indexable PLA for Efficient Similarity Search
Similarity-based search over time-series databases has been a hot research topic for a long history, which is widely used in many applications, including multimedia retrieval, dat...
Qiuxia Chen, Lei Chen 0002, Xiang Lian, Yunhao Liu...
JMLR
2010
115views more  JMLR 2010»
13 years 3 months ago
O-IPCAC and its Application to EEG Classification
In this paper we describe an online/incremental linear binary classifier based on an interesting approach to estimate the Fisher subspace. The proposed method allows to deal with ...
Alessandro Rozza, Gabriele Lombardi, Marco Rosa, E...
VLDB
1998
ACM
192views Database» more  VLDB 1998»
14 years 21 days ago
Algorithms for Mining Distance-Based Outliers in Large Datasets
This paper deals with finding outliers (exceptions) in large, multidimensional datasets. The identification of outliers can lead to the discovery of truly unexpected knowledge in ...
Edwin M. Knorr, Raymond T. Ng