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MICCAI
2010
Springer
14 years 8 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...
91
Voted
MICCAI
2010
Springer
14 years 8 months ago
Incorporating Priors on Expert Performance Parameters for Segmentation Validation and Label Fusion: A Maximum a Posteriori STAPL
Abstract. In order to evaluate the quality of segmentations of an image and assess intra- and inter-expert variability in segmentation performance, an Expectation Maximization (EM)...
Olivier Commowick, Simon K. Warfield
75
Voted
PVLDB
2010
110views more  PVLDB 2010»
14 years 8 months ago
Read-Once Functions and Query Evaluation in Probabilistic Databases
Probabilistic databases hold promise of being a viable means for large-scale uncertainty management, increasingly needed in a number of real world applications domains. However, q...
Prithviraj Sen, Amol Deshpande, Lise Getoor
84
Voted
QEST
2010
IEEE
14 years 8 months ago
Timed Branching Processes
We study Timed Branching Processes (TBPs), a natural extension of (multitype) Branching Processes (BPs) where each entity is equipped with a finite set of private continuous variab...
Ashutosh Trivedi, Dominik Wojtczak
106
Voted
CORR
2010
Springer
105views Education» more  CORR 2010»
14 years 5 months ago
Universal and Robust Distributed Network Codes
Random linear network codes can be designed and implemented in a distributed manner, with low computational complexity. However, these codes are classically implemented [1] over fi...
Tracey Ho, Sidharth Jaggi, Svitlana Vyetrenko, Lin...