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KDD
2007
ACM
170views Data Mining» more  KDD 2007»
14 years 8 months ago
From frequent itemsets to semantically meaningful visual patterns
Data mining techniques that are successful in transaction and text data may not be simply applied to image data that contain high-dimensional features and have spatial structures....
Junsong Yuan, Ying Wu, Ming Yang
KDD
2006
ACM
180views Data Mining» more  KDD 2006»
14 years 8 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
SIGMOD
2006
ACM
116views Database» more  SIGMOD 2006»
14 years 8 months ago
Simultaneous scalability and security for data-intensive web applications
For Web applications in which the database component is the bottleneck, scalability can be provided by a third-party Database Scalability Service Provider (DSSP) that caches appli...
Amit Manjhi, Anastassia Ailamaki, Bruce M. Maggs, ...
WSC
1998
13 years 9 months ago
Implementing the Theory of Constraints Philosophy in Highly Reentrant Systems
A significant challenge in implementing the Theory of Constraints in the semiconductor industry is the complex and reentrant nature of the manufacturing process. Managing a constr...
Clay Rippenhagen, Shekar Krishnaswamy
DAGSTUHL
2009
13 years 9 months ago
Learning Highly Structured Manifolds: Harnessing the Power of SOMs
Abstract. In this paper we elaborate on the challenges of learning manifolds that have many relevant clusters, and where the clusters can have widely varying statistics. We call su...
Erzsébet Merényi, Kadim Tasdemir, Li...