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SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
14 years 1 months ago
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
WEBDB
2010
Springer
171views Database» more  WEBDB 2010»
14 years 24 days ago
Improved Recommendations via (More) Collaboration
We consider in this paper a popular class of recommender systems that are based on Collaborative Filtering (CF for short). CF is the process of predicting customer ratings to item...
Rubi Boim, Haim Kaplan, Tova Milo, Ronitt Rubinfel...
CAIP
1995
Springer
137views Image Analysis» more  CAIP 1995»
13 years 11 months ago
Extending the Point Distribution Model Using Polar Coordinates
The Point Distribution Model (PDM) has already proved useful for many tasks involving the location or tracking of deformable objects. A principal limitation lies in the fact that n...
Tony Heap, David Hogg
ASPDAC
2005
ACM
96views Hardware» more  ASPDAC 2005»
13 years 9 months ago
Comprehensive frequency dependent interconnect extraction and evaluation methodology
Abstract— Frequency dependent interconnect analysis is challenging since lumped equivalent circuit models extracted at different frequencies exhibit distinct time and frequency d...
Rong Jiang, Charlie Chung-Ping Chen
AAAI
2006
13 years 9 months ago
Approximate Compilation for Embedded Model-based Reasoning
The use of embedded technology has become widespread. Many complex engineered systems comprise embedded features to perform self-diagnosis or self-reconfiguration. These features ...
Barry O'Sullivan, Gregory M. Provan