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» Data Reduction Using Multiple Models Integration
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ICIP
2007
IEEE
15 years 6 months ago
Unsupervised Nonlinear Manifold Learning
This communication deals with data reduction and regression. A set of high dimensional data (e.g., images) usually has only a few degrees of freedom with corresponding variables t...
Matthieu Brucher, Christian Heinrich, Fabrice Heit...
BMCBI
2006
140views more  BMCBI 2006»
15 years 2 months ago
MACSIMS : multiple alignment of complete sequences information management system
Background: In the post-genomic era, systems-level studies are being performed that seek to explain complex biological systems by integrating diverse resources from fields such as...
Julie D. Thompson, Arnaud Muller, Andrew M. Waterh...
NIPS
2004
15 years 4 months ago
Sparse Coding of Natural Images Using an Overcomplete Set of Limited Capacity Units
It has been suggested that the primary goal of the sensory system is to represent input in such a way as to reduce the high degree of redundancy. Given a noisy neural representati...
Eizaburo Doi, Michael S. Lewicki
GRC
2007
IEEE
15 years 3 months ago
Privacy Preserving Collaborative Filtering Using Data Obfuscation
Collaborative filtering (CF) systems are being widely used in E-commerce applications to provide recommendations to users regarding products that might be of interest to them. Th...
Rupa Parameswaran, Douglas M. Blough
ISLPED
2010
ACM
184views Hardware» more  ISLPED 2010»
15 years 3 months ago
Hybrid energy storage system integration for vehicles
Energy consumption and the associated environmental impact are a pressing challenge faced by the transportation sector. Emerging electric-drive vehicles have shown promises for su...
Jia Wang, Kun Li, Qin Lv, Hai Zhou, Li Shang