540 search results - page 13 / 108 » Dimensionality Reduction for Data in Multiple Feature Repres... |
PAKDD
2010
ACM
13 years 4 months ago
2010
ACM
Data mining tasks results are usually improved by reducing the dimensionality of data. This improvement however is achieved harder in the case that data lay on a non linear manifol...
RSS
2007
13 years 8 months ago
2007
Abstract— This paper considers the problem of learning to recognize different terrains from color imagery in a fully automatic fashion, using the robot’s mechanical sensors as ...
ICML
2006
IEEE
14 years 7 months ago
2006
IEEE
In machine learning problems with tens of thousands of features and only dozens or hundreds of independent training examples, dimensionality reduction is essential for good learni...
SDM
2012
SIAM
11 years 9 months ago
2012
SIAM
To date, many active learning techniques have been developed for acquiring labels when training data is limited. However, an important aspect of the problem has often been neglect...
GMP
2006
IEEE
14 years 23 days ago
2006
IEEE
Proper treatment of selections is essential in parametric feature-based design. Data exchange is one of the most important operators in any design paradigm. In this paper we addre...