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» An ICA algorithm for analyzing multiple data sets
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TACAS
2007
Springer
103views Algorithms» more  TACAS 2007»
14 years 2 months ago
A Reachability Predicate for Analyzing Low-Level Software
Reasoning about heap-allocated data structures such as linked lists and arrays is challenging. The reachability predicate has proved to be useful for reasoning about the heap in ty...
Shaunak Chatterjee, Shuvendu K. Lahiri, Shaz Qadee...
IJAR
2011
118views more  IJAR 2011»
12 years 11 months ago
A sequential pattern mining algorithm using rough set theory
Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns in time se...
Ken Kaneiwa, Yasuo Kudo
BMCBI
2010
139views more  BMCBI 2010»
13 years 8 months ago
A highly efficient multi-core algorithm for clustering extremely large datasets
Background: In recent years, the demand for computational power in computational biology has increased due to rapidly growing data sets from microarray and other high-throughput t...
Johann M. Kraus, Hans A. Kestler
CVPR
2006
IEEE
13 years 11 months ago
Multiple Face Model of Hybrid Fourier Feature for Large Face Image Set
The face recognition system based on the only single classifier considering the restricted information can not guarantee the generality and superiority of performances in a real s...
Wonjun Hwang, Gyu-tae Park, Jong Ha Lee, Seok-Cheo...
HIS
2008
13 years 9 months ago
Genetic-Based Synthetic Data Sets for the Analysis of Classifiers Behavior
In this paper, we highlight the use of synthetic data sets to analyze learners behavior under bounded complexity. We propose a method to generate synthetic data sets with a specif...
Núria Macià, Albert Orriols-Puig, Es...