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» On the Relative Sizes of Learnable Sets
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CVPR
2008
IEEE
14 years 10 months ago
Generalised blurring mean-shift algorithms for nonparametric clustering
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
Miguel Á. Carreira-Perpiñán
ITC
2003
IEEE
151views Hardware» more  ITC 2003»
14 years 1 months ago
Fault Collapsing via Functional Dominance
A fault fj is said to dominate another fault fi if all tests for fi detect fj . When two faults dominate each other, they are called equivalent. Dominance and equivalence relation...
Vishwani D. Agrawal, A. V. S. S. Prasad, Madhusuda...
SSD
1997
Springer
140views Database» more  SSD 1997»
14 years 24 days ago
Spatial Data Mining: A Database Approach
Abstract. Knowledge discovery in databases (KDD) is an important task in spatial databases since both, the number and the size of such databases are rapidly growing. This paper int...
Martin Ester, Hans-Peter Kriegel, Jörg Sander
CONTEXT
2005
Springer
14 years 2 months ago
Granularity as a Parameter of Context
Abstract. Spatial and temporal granularity can be understood as parameters of context restricting the set of accessible objects in a context. Starting from the idea that this selec...
Hedda Rahel Schmidtke
DASFAA
2004
IEEE
95views Database» more  DASFAA 2004»
14 years 12 days ago
On Incorporating Iceberg Queries in Query Processors
Iceberg queries are a special case of SQL queries involving GROUP BY and HAVING clauses, wherein the answer set is small relative to the database size. We present here a performanc...
Krishna P. Leela, Pankaj M. Tolani, Jayant R. Hari...