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MICCAI
2010
Springer
13 years 4 months ago
Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
Vincent Michel, Evelyn Eger, Christine Keribin, Be...
CHI
2005
ACM
14 years 6 months ago
Studying the effectiveness of MOVE: a contextually optimized in-vehicle navigation system
In-vehicle navigation has changed substantially in recent years, due to the advent of computer generated maps and directions. However, these maps are still problematic, due to a m...
Joonhwan Lee, Jodi Forlizzi, Scott E. Hudson
BMCBI
2010
113views more  BMCBI 2010»
13 years 5 months ago
Probabilistic Principal Component Analysis for Metabolomic Data
Background: Data from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique fo...
Gift Nyamundanda, Lorraine Brennan, Isobel Claire ...
CGO
2007
IEEE
14 years 14 days ago
Run-Time Support for Optimizations Based on Escape Analysis
The JavaTM programming language does not allow the programmer to influence memory management. An object is usually allocated on the heap and deallocated by the garbage collector ...
Thomas Kotzmann, Hanspeter Mössenböck
BMCBI
2007
136views more  BMCBI 2007»
13 years 6 months ago
Genomorama: genome visualization and analysis
Background: The ability to visualize genomic features and design experimental assays that can target specific regions of a genome is essential for modern biology. To assist in the...
Jason D. Gans, Murray Wolinsky