1516 search results - page 64 / 304 » On the Learnability of Vector Spaces |
75
Voted
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
This paper presents a novel method for reducing the dimensionality of kernel spaces. Recently, to maintain the convexity of training, loglinear models without mixtures have been u...
ICPP
2000
IEEE
15 years 2 months ago
2000
IEEE
This paper compares three similar loop-grouping methods. All methods are based on projecting the n-dimensional iteration space Jn onto a k-dimensional one, called the projected sp...
DGCI
2008
Springer
14 years 11 months ago
2008
Springer
Toric spaces being non-simply connected, it is possible to find in such spaces some loops which are not homotopic to a point: we call them toric loops. Some applications, such as t...
ICPR
2002
IEEE
15 years 11 months ago
2002
IEEE
The use of higher order autocorrelations as features for pattern classification has been usually restricted to second or third orders due to high computational costs. Since the au...
DCC
2006
IEEE
15 years 3 months ago
2006
IEEE
This paper derives bounds on the distortion rate function for quantization on the complex projective space denoted as CPn−1 . In essence the problem of quantization in an Euclid...