270 search results - page 3 / 54 » Large-Scale Many-Class Learning |
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...
ICIP
2007
IEEE
14 years 7 months ago
2007
IEEE
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
PERCOM
2006
ACM
14 years 4 months ago
2006
ACM
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
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 ...