1313 search results - page 25 / 263 » Dimensionality Reduction for Classification |
179
Voted
AAAI
2010
15 years 8 months ago
2010
Multi-instance learning deals with problems that treat bags of instances as training examples. In single-instance learning problems, dimensionality reduction is an essential step ...
213
Voted
ACMACE
2007
ACM
15 years 10 months ago
2007
ACM
Fundamental to the generation of 3D audio is the HRTF processing of acoustical signals. Unfortunately, given the high dimensionality of HRTFs, incorporating them into dynamic/inte...
184
Voted
CVPR
2006
IEEE
16 years 8 months ago
2006
IEEE
Dimensionality reduction involves mapping a set of high dimensional input points onto a low dimensional manifold so that "similar" points in input space are mapped to ne...
205
Voted
ECCV
2006
Springer
16 years 8 months ago
2006
Springer
Many linear discriminant analysis (LDA) and kernel Fisher discriminant analysis (KFD) methods are based on the restrictive assumption that the data are homoscedastic. In this paper...
189
click to vote
ISMIR
2005
Springer
16 years 8 days ago
2005
Springer
This paper presents ACE (Autonomous Classification Engine), a framework for using and optimizing classifiers. Given a set of feature vectors, ACE experiments with a variety of cla...