1215 search results - page 104 / 243 » Dimensions of machine learning in design |
ECCV
2006
Springer
14 years 11 months ago
2006
Springer
Since it is hard to handcraft the prior knowledge in a shape detection framework, machine learning methods are preferred to exploit the expert annotation of the target shape in a d...
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
Clustering data in high dimensions is believed to be a hard problem in general. A number of efficient clustering algorithms developed in recent years address this problem by proje...
ICML
2006
IEEE
14 years 10 months ago
2006
IEEE
Dimensionality reduction is an important pre-processing step for many applications. Linear Discriminant Analysis (LDA) is one of the well known methods for supervised dimensionali...
MLDM
2007
Springer
14 years 3 months ago
2007
Springer
Recursive Feature Elimination (RFE) combined with feature ranking is an effective technique for eliminating irrelevant features when the feature dimension is large, but it is diffi...
COLT
2000
Springer
14 years 1 months ago
2000
Springer
This paper collects together a miscellany of results originally motivated by the analysis of the generalization performance of the “maximum-margin” algorithm due to Vapnik and...