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» A framework for multiple snakes and its applications
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KDD
2007
ACM
179views Data Mining» more  KDD 2007»
15 years 4 months ago
Mining statistically important equivalence classes and delta-discriminative emerging patterns
The support-confidence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that effectively simplifies the search lattice. This com...
Jinyan Li, Guimei Liu, Limsoon Wong
CIKM
2009
Springer
15 years 3 months ago
Heterogeneous cross domain ranking in latent space
Traditional ranking mainly focuses on one type of data source, and effective modeling still relies on a sufficiently large number of labeled or supervised examples. However, in m...
Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang,...
ARITH
2007
IEEE
15 years 2 months ago
A Software Implementation of the IEEE 754R Decimal Floating-Point Arithmetic Using the Binary Encoding Format
The IEEE Standard 754-1985 for Binary Floating-Point Arithmetic [1] was revised [2], and an important addition is the definition of decimal floating-point arithmetic. This is inte...
Marius Cornea, Cristina Anderson, John Harrison, P...
CATA
2003
14 years 11 months ago
A Genetic Algorithm Approach to Static Task Scheduling in a Reconfigurable Hardware Environment
This paper presents a basic framework for applying static task scheduling techniques to arbitrarily-structured task systems whose targeted execution environment is comprised of fi...
Sin Ming Loo, B. Earl Wells, J. D. Winningham
CVPR
2008
IEEE
16 years 11 days ago
Semi-supervised SVM batch mode active learning for image retrieval
Active learning has been shown as a key technique for improving content-based image retrieval (CBIR) performance. Among various methods, support vector machine (SVM) active learni...
Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R....