113 search results - page 16 / 23 » Learning Optimal Embedded Cascades |
ICML
2007
IEEE
14 years 7 months ago
2007
IEEE
Non-linear dimensionality reduction of noisy data is a challenging problem encountered in a variety of data analysis applications. Recent results in the literature show that spect...
CVPR
2008
IEEE
13 years 8 months ago
2008
IEEE
In this paper, we develop a geometric framework for linear or nonlinear discriminant subspace learning and classification. In our framework, the structures of classes are conceptu...
GECCO
2004
Springer
14 years 3 days ago
2004
Springer
Abstract. The current trend in Embedded Systems (ES) design is moving towards the integration of increasingly complex applications on a single chip. An Embedded System has to satis...
AAAI
2007
13 years 9 months ago
2007
Recently the problem of dimensionality reduction has received a lot of interests in many fields of information processing. We consider the case where data is sampled from a low d...
KDD
2006
ACM
14 years 7 months ago
2006
ACM
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...