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ICDM
2009
IEEE
133views Data Mining» more  ICDM 2009»
14 years 4 months ago
On K-Means Cluster Preservation Using Quantization Schemes
This work examines under what conditions compression methodologies can retain the outcome of clustering operations. We focus on the popular k-Means clustering algorithm and we dem...
Deepak S. Turaga, Michail Vlachos, Olivier Versche...
ICPR
2004
IEEE
14 years 11 months ago
Rehashing for Bayesian Geometric Hashing
Geometric hashing is a model-based recognition technique based on matching of transformation-invariant object representations stored in a hash table. In the last decade a number o...
Ehud Rivlin, Ilya Blayvas, Michael Lifshits, Micha...
ICCAD
1997
IEEE
101views Hardware» more  ICCAD 1997»
14 years 2 months ago
Minimum area retiming with equivalent initial states
Traditional minimum area retiming algorithms attempt to achieve their prescribed objective with no regard to maintaining the initial state of the system. This issue is important f...
Naresh Maheshwari, Sachin S. Sapatnekar
DOOD
1997
Springer
155views Database» more  DOOD 1997»
14 years 2 months ago
Incremental Updates for Materialized OQL Views
Abstract. This work discusses the CROQUE approach to the maintenance problem for materialized views. In a CROQUE database, application-speci ed collections (type extents or classes...
Dieter Gluche, Torsten Grust, Christof Mainberger,...
DCC
2011
IEEE
13 years 4 months ago
Scalar Quantization for Relative Error
Quantizers for probabilistic sources are usually optimized for mean-squared error. In many applications, maintaining low relative error is a more suitable objective. This measure ...
John Z. Sun, Vivek K. Goyal