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» Spike Feature Extraction Using Informative Samples
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ALMOB
2007
74views more  ALMOB 2007»
13 years 8 months ago
Evaluating deterministic motif significance measures in protein databases
Background: Assessing the outcome of motif mining algorithms is an essential task, as the number of reported motifs can be very large. Significance measures play a central role in...
Pedro Gabriel Ferreira, Paulo J. Azevedo
CORR
2010
Springer
177views Education» more  CORR 2010»
13 years 8 months ago
Supervised Random Walks: Predicting and Recommending Links in Social Networks
Predicting the occurrence of links is a fundamental problem in networks. In the link prediction problem we are given a snapshot of a network and would like to infer which interact...
Lars Backstrom, Jure Leskovec
BMCBI
2006
179views more  BMCBI 2006»
13 years 7 months ago
Accurate and unambiguous tag-to-gene mapping in serial analysis of gene expression
Background: In this study, we present a robust and reliable computational method for tag-togene assignment in serial analysis of gene expression (SAGE). The method relies on curre...
Rodrigo Malig, Cristian Varela, Eduardo Agosin, Fr...
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
14 years 8 months ago
Eigenspace-based anomaly detection in computer systems
We report on an automated runtime anomaly detection method at the application layer of multi-node computer systems. Although several network management systems are available in th...
Hisashi Kashima, Tsuyoshi Idé
CVPR
2005
IEEE
14 years 9 months ago
A Two Level Approach for Scene Recognition
Classifying pictures into one of several semantic categories is a classical image understanding problem. In this paper, we present a stratified approach to both binary (outdoor-in...
Le Lu, Kentaro Toyama, Gregory D. Hager