Sciweavers

3410 search results - page 642 / 682
» Measuring Model Transformation in Model Driven Development
Sort
View
CORR
2011
Springer
190views Education» more  CORR 2011»
14 years 6 months ago
Doubly Robust Smoothing of Dynamical Processes via Outlier Sparsity Constraints
Abstract—Coping with outliers contaminating dynamical processes is of major importance in various applications because mismatches from nominal models are not uncommon in practice...
Shahrokh Farahmand, Georgios B. Giannakis, Daniele...
124
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Discriminative Training for direct minimization of deletion, insertion and substitution errors
In this paper, we follow the minimum error principle for acoustic modeling and formulate error objectives in insertion, deletion, and substitution separately for minimization duri...
Sunghwan Shin, Ho-Young Jung, Biing-Hwang Juang
131
Voted
ISBI
2011
IEEE
14 years 6 months ago
Boosting power to detect genetic associations in imaging using multi-locus, genome-wide scans and ridge regression
Most algorithms used for imaging genetics examine statistical effects of each individual genetic variant, one at a time. We developed a new approach, based on ridge regression, to...
Omid Kohannim, Derrek P. Hibar, Jason L. Stein, Ne...
113
Voted
ECIS
2011
14 years 2 months ago
Improving residential energy consumption at large using persuasive systems
The paper presents a persuasive web application that stimulates residential energy conservation. The users of the application received consumption feedback that is based on electr...
Tobias Graml, Claire-Michelle Loock, Michael Baeri...
HISB
2011
111views more  HISB 2011»
14 years 2 months ago
Spinal Cord Segmentation for Volume Estimation in Healthy and Multiple Sclerosis Subjects Using Crawlers and Minimal Paths
—Spinal cord analysis is an important problem in the study of various neurological diseases. Current segmentation and analysis methods in clinical use are slow and laborintensive...
Chris McIntosh, Ghassan Hamarneh, Matthew Toom, Ro...