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» Computing with abstract matrix structures
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BICOB
2010
Springer
15 years 1 months ago
Multiple Kernel Learning for Fold Recognition
Fold recognition is a key problem in computational biology that involves classifying protein sharing structural similarities into classes commonly known as "folds". Rece...
Huzefa Rangwala
122
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SEMWEB
2007
Springer
15 years 9 months ago
Structure Preserving Semantic Matching
Abstract The most common matching applications, e.g., ontology matching, focus on the computation of the correspondences holding between the nodes of graph structures (e.g., concep...
Fausto Giunchiglia, Mikalai Yatskevich, Fiona McNe...
TASLP
2011
14 years 10 months ago
Time-Frequency Cepstral Features and Heteroscedastic Linear Discriminant Analysis for Language Recognition
Abstract—The shifted delta cepstrum (SDC) is a widely used feature extraction for language recognition (LRE). With a high context width due to incorporation of multiple frames, S...
Weiqiang Zhang, Liang He, Yan Deng, Jia Liu, M. T....
OSDI
2008
ACM
16 years 3 months ago
Digging for Data Structures
Because writing computer programs is hard, computer programmers are taught to use encapsulation and modularity to hide complexity and reduce the potential for errors. Their progra...
Anthony Cozzie, Frank Stratton, Hui Xue, Samuel T....
MFCS
2009
Springer
15 years 10 months ago
Synthesis for Structure Rewriting Systems
Abstract. The description of a single state of a modelled system is often complex in practice, but few procedures for synthesis address this problem in depth. We study systems in w...
Lukasz Kaiser