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JMLR
2010
195views more  JMLR 2010»
14 years 11 months ago
Online Learning for Matrix Factorization and Sparse Coding
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
SPIN
2010
Springer
14 years 11 months ago
Analysing Mu-Calculus Properties of Pushdown Systems
Pushdown systems provide a natural model of software with recursive procedure calls. We provide a tool implementing an algorithm for computing the winning regions of a pushdown par...
Matthew Hague, C.-H. Luke Ong
CORR
2011
Springer
181views Education» more  CORR 2011»
14 years 8 months ago
Lightweight Service Oriented Architecture for Pervasive Computing
Pervasive computing appears like a new computing era based on networks of objects and devices evolving in a real world, radically different from distributed computing, based on ne...
Jean-Yves Tigli, Stephane Lavirotte, Gaëtan R...
HISB
2011
111views more  HISB 2011»
14 years 27 days 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...
HUC
2011
Springer
14 years 27 days ago
Exploring micro-incentive strategies for participant compensation in high-burden studies
Micro-incentives represent a new but little-studied trend in participant compensation for user studies. In this paper, we use a combination of statistical analysis and models from...
Mohamed Musthag, Andrew Raij, Deepak Ganesan, Sant...