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» A General Divide and Conquer Approach for Process Mining
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85
Voted
ICIP
2003
IEEE
16 years 22 days ago
Boosting linear discriminant analysis for face recognition
In this paper, we propose a new algorithm to boost performance of traditional Linear Discriminant Analysis (LDA)-based face recognition (FR) methods in complex FR tasks, where hig...
Juwei Lu, Konstantinos N. Plataniotis, Anastasios ...
ICDE
1996
IEEE
142views Database» more  ICDE 1996»
16 years 13 days ago
Approximate Queries and Representations for Large Data Sequences
Many new database application domains such as experimental sciences and medicine are characterized by large sequences as their main form of data. Using approximate representation ...
Hagit Shatkay, Stanley B. Zdonik
112
Voted
SIGMOD
2010
ACM
145views Database» more  SIGMOD 2010»
14 years 9 months ago
How to ConQueR why-not questions
One useful feature that is missing from today’s database systems is an explain capability that enables users to seek clarifications on unexpected query results. There are two t...
Quoc Trung Tran, Chee-Yong Chan
FDL
2004
IEEE
15 years 2 months ago
A Formal Verification Approach for IP-based Designs
This paper proposes a formal verification methodology which is smoothly integrated with component-based system-level design, using a divide and conquer approach. The methodology a...
Daniel Karlsson, Petru Eles, Zebo Peng
EMO
2005
Springer
110views Optimization» more  EMO 2005»
15 years 4 months ago
Parallelization of Multi-objective Evolutionary Algorithms Using Clustering Algorithms
Abstract. While Single-Objective Evolutionary Algorithms (EAs) parallelization schemes are both well established and easy to implement, this is not the case for Multi-Objective Evo...
Felix Streichert, Holger Ulmer, Andreas Zell