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» Clustering Large Datasets in Arbitrary Metric Spaces
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ICML
2008
IEEE
14 years 8 months ago
Metric embedding for kernel classification rules
In this paper, we consider a smoothing kernelbased classification rule and propose an algorithm for optimizing the performance of the rule by learning the bandwidth of the smoothi...
Bharath K. Sriperumbudur, Omer A. Lang, Gert R. G....
SAC
2006
ACM
14 years 1 months ago
A scalable algorithm for high-quality clustering of web snippets
We consider the problem of partitioning, in a highly accurate and highly efficient way, a set of n documents lying in a metric space into k non-overlapping clusters. We augment th...
Filippo Geraci, Marco Pellegrini, Paolo Pisati, Fa...
SISAP
2010
IEEE
159views Data Mining» more  SISAP 2010»
13 years 5 months ago
CP-index: using clustering and pivots for indexing non-metric spaces
Most multimedia information retrieval systems use an indexing scheme to speed up similarity search. The index aims to discard large portions of the data collection at query time. ...
Victor Sepulveda, Benjamin Bustos
RIAO
2007
13 years 8 months ago
Similarity Beyond Distance Measurement
One of the keys issues to content-based image retrieval is the similarity measurement of images. Images are represented as points in the space of low-level visual features and mos...
Feng Kang, Rong Jin, Steven C. H. Hoi
TKDE
2012
270views Formal Methods» more  TKDE 2012»
11 years 9 months ago
Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Din...