1010 search results - page 158 / 202 » Co-EM support vector learning |
124
click to vote
MM
2005
ACM
15 years 8 months ago
2005
ACM
We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space Rn1×n2 . Some learning algorith...
143
click to vote
ICIP
2010
IEEE
15 years 27 days ago
2010
IEEE
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
167
click to vote
ESANN
2006
15 years 4 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
182
click to vote
VLSISP
2010
15 years 1 months ago
2010
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
118
click to vote
BMCBI
2010
15 years 3 months ago
2010
Background: An important aspect of protein design is the ability to predict changes in protein thermostability arising from single- or multi-site mutations. Protein thermostabilit...