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UAI
1996
14 years 11 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
INFOSCALE
2007
ACM
14 years 11 months ago
A dubiety-determining based model for database cumulated anomaly intrusion
— The concept of Cumulated Anomaly (CA), which describes a new type of database anomalies, is addressed. A typical CA intrusion is that when a user who is authorized to modify da...
Gang Lu, Junkai Yi, Kevin Lü
FBIT
2007
IEEE
15 years 1 months ago
Mapping Genetic Influences on Brain Shape Using Multi-Atlas Fluid Image Alignment
In this pilot study, we developed a set of computer vision based surface segmentation and statistical shape analysis algorithms to study genetic influences on brain structure in a...
Meena Mani, Yi-Yu Chou, Natasha Lepore, Agatha D. ...
CISS
2008
IEEE
15 years 4 months ago
Channel modeling and detector design for dynamic mode high density probe storage
— Probe based data storage is a promising solution for satisfying the demand for ultra-high capacity storage devices. One of the main problems with probe storage devices is the w...
Naveen Kumar, Pranav Agarwal, Aditya Ramamoorthy, ...
LION
2009
Springer
114views Optimization» more  LION 2009»
15 years 4 months ago
Substitution Matrices and Mutual Information Approaches to Modeling Evolution
Abstract. Substitution matrices are at the heart of Bioinformatics: sequence alignment, database search, phylogenetic inference, protein family classication are based on Blosum, P...
Stephan Kitchovitch, Yuedong Song, Richard C. van ...