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UAI
1996
15 years 8 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
DEBU
2008
187views more  DEBU 2008»
15 years 6 months ago
Social SQL: Tools for Exploring Social Databases
Social media are constructed from the collective contributions of potentially millions of individuals and present an increasingly common and large scale form of database. As these...
Marc A. Smith, Vladimir Barash
TVCG
2008
87views more  TVCG 2008»
15 years 6 months ago
The Seismic Analyzer: Interpreting and Illustrating 2D Seismic Data
We present a toolbox for quickly interpreting and illustrating 2D slices of seismic volumetric reflection data. Searching for oil and gas involves creating a structural overview of...
Daniel Patel, Christopher Giertsen, John Thurmond,...
IPMI
2005
Springer
16 years 7 months ago
Brain Segmentation with Competitive Level Sets and Fuzzy Control
We propose to segment 3D structures with competitive level sets driven by fuzzy control. To this end, several contours evolve simultaneously toward previously defined anatomical ta...
Cybèle Ciofolo, Christian Barillot
ICSE
2003
IEEE-ACM
16 years 6 months ago
Pattern Oriented Software Development: Moving Seamlessly from Requirements to Architecture
Requirements Engineering (RE) deals with the early phases of software engineering namely requirement elicitation, modeling, specification and validation. Architecture of a softwar...
M. S. Rajasree, P. Jithendra Kumar Reddy, D. Janak...