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» Clustering with Lower Bound on Similarity
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92
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SSDBM
2010
IEEE
117views Database» more  SSDBM 2010»
15 years 5 months ago
Finding Top-k Similar Pairs of Objects Annotated with Terms from an Ontology
With the growing focus on semantic searches and interpretations, an increasing number of standardized vocabularies and ontologies are being designed and used to describe data. We ...
Arnab Bhattacharya, Abhishek Bhowmick, Ambuj K. Si...
139
Voted
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 3 months ago
Searching and mining trillions of time series subsequences under dynamic time warping
Most time series data mining algorithms use similarity search as a core subroutine, and thus the time taken for similarity search is the bottleneck for virtually all time series d...
Thanawin Rakthanmanon, Bilson J. L. Campana, Abdul...
104
Voted
NIPS
2007
15 years 2 months ago
DIFFRAC: a discriminative and flexible framework for clustering
We present a novel linear clustering framework (DIFFRAC) which relies on a linear discriminative cost function and a convex relaxation of a combinatorial optimization problem. The...
Francis Bach, Zaïd Harchaoui
86
Voted
RT
1995
Springer
15 years 4 months ago
Linear Radiosity with Error Estimation
We present a simple and inexpensive method for computing the estimates of error in a hierarchical linear radiosity method. Similar to the approach used in 1 for constant radiosity ...
Sumanta N. Pattanaik, Kadi Bouatouch
ADHOC
2007
139views more  ADHOC 2007»
15 years 28 days ago
Bounded-distance multi-clusterhead formation in wireless ad hoc networks
We present a clustering technique addressing redundancy for bounded-distance clusters, which means being able to determine the minimum number of cluster-heads per node, and the ma...
Marco Aurélio Spohn, J. J. Garcia-Luna-Acev...