625 search results - page 3 / 125 » Large-scale manifold learning |
WMTE
2006
IEEE
13 years 11 months ago
2006
IEEE
The diversity of mobile devices and their limitations have raised many challenges for the actual deployment of mobile learning across institutions. The main objective of this work...
TNN
2010
13 years 2 days ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
NIPS
2007
13 years 6 months ago
2007
This paper investigates the application of randomized algorithms for large scale SVM learning. The key contribution of the paper is to show that, by using ideas random projections...
PERCOM
2006
ACM
14 years 5 months ago
2006
ACM
AAAI
2008
13 years 7 months ago
2008
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...