264 search results - page 8 / 53 » Learning Linearly Separable Languages |
JMLR
2012
11 years 11 months ago
2012
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
ICDE
2008
IEEE
14 years 10 months ago
2008
IEEE
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. It has been widely used in many fields of information proces...
AAAI
2006
13 years 10 months ago
2006
of somewhat abstracting away from the literal physiological measurements of articulation that are so closely tied to the acoustic signal, and with some additional computational bur...
ICCV
2001
IEEE
14 years 10 months ago
2001
IEEE
By representing images and image prototypes by linear subspaces spanned by "tangent vectors" (derivatives of an image with respect to translation, rotation, etc.), impre...
ICSE
2003
IEEE-ACM
14 years 8 months ago
2003
IEEE-ACM
The lack of a common language and mutual understanding between the disciplines of systems development/software engineering and HCI does create challenges for both teaching and pra...