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» A new look at state-space models for neural data
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CVIU
2007
154views more  CVIU 2007»
13 years 10 months ago
Smart particle filtering for high-dimensional tracking
Tracking articulated structures like a hand or body within a reasonable time is challenging because of the high dimensionality of the state space. Recently, a new optimization met...
Matthieu Bray, Esther Koller-Meier, Luc J. Van Goo...
ICDE
2008
IEEE
149views Database» more  ICDE 2008»
14 years 11 months ago
Sharoes: A Data Sharing Platform for Outsourced Enterprise Storage Environments
Abstract-- With fast paced growth of digital data and exploding storage management costs, enterprises are looking for new ways to effectively manage their data. One such cost-effec...
Aameek Singh, Ling Liu
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
13 years 11 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
DMIN
2009
222views Data Mining» more  DMIN 2009»
13 years 8 months ago
P-Sensitive K-Anonymity for Social Networks
-- The proliferation of social networks, where individuals share private information, has caused, in the last few years, a growth in the volume of sensitive data being stored in th...
Roy Ford, Traian Marius Truta, Alina Campan
ESEM
2007
ACM
14 years 2 months ago
Effort Prediction in Iterative Software Development Processes -- Incremental Versus Global Prediction Models
Estimation of development effort without imposing overhead on the project and the development team is of paramount importance for any software company. This study proposes a new e...
Pekka Abrahamsson, Raimund Moser, Witold Pedrycz, ...