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» Finding Spatial Patterns in Network Data
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SP
2008
IEEE
159views Security Privacy» more  SP 2008»
14 years 11 months ago
Inferring neuronal network connectivity from spike data: A temporal data mining approach
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...
CCR
2010
202views more  CCR 2010»
14 years 12 months ago
Understanding data center traffic characteristics
As data centers become more and more central in Internet communications, both research and operations communities have begun to explore how to better design and manage them. In th...
Theophilus Benson, Ashok Anand, Aditya Akella, Min...
ICANN
2007
Springer
15 years 5 months ago
Neural Mechanisms for Mid-Level Optical Flow Pattern Detection
This paper describes a new model for extracting large-field optical flow patterns to generate distributed representations of neural activation to control complex visual tasks such ...
Stefan Ringbauer, Pierre Bayerl, Heiko Neumann
BMCBI
2010
153views more  BMCBI 2010»
14 years 10 months ago
DiffCoEx: a simple and sensitive method to find differentially coexpressed gene modules
Background: Large microarray datasets have enabled gene regulation to be studied through coexpression analysis. While numerous methods have been developed for identifying differen...
Bruno M. Tesson, Rainer Breitling, Ritsert C. Jans...
RECOMB
2009
Springer
16 years 10 days ago
Spatial Clustering of Multivariate Genomic and Epigenomic Information
The combination of fully sequence genomes and new technologies for high density arrays and ultra-rapid sequencing enables the mapping of generegulatory and epigenetics marks on a g...
Rami Jaschek, Amos Tanay