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ICPR
2010
IEEE
15 years 5 days ago
A Discriminative and Heteroscedastic Linear Feature Transformation for Multiclass Classification
This paper presents a novel discriminative feature transformation, named full-rank generalized likelihood ratio discriminant analysis (fGLRDA), on the grounds of the likelihood ra...
Hung-Shin Lee, Hsin-Min Wang, Berlin Chen
JMLR
2012
13 years 6 days ago
Metric and Kernel Learning Using a Linear Transformation
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...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
PLILP
1995
Springer
15 years 1 months ago
Local Linear Logic for Locality Consciousness in Multiset Transformation
We use Girard's linear logic (LL) to produce a semantics for Gamma, a multiset transformation language. The semantics improves on the existing structured operational semantics...
Hugh McEvoy, Pieter H. Hartel
CGO
2009
IEEE
15 years 4 months ago
Computer Generation of General Size Linear Transform Libraries
The development of high-performance libraries has become extraordinarily difficult due to multiple processor cores, vector instruction sets, and deep memory hierarchies. Often, t...
Yevgen Voronenko, Frédéric de Mesmay...
SPIRE
2009
Springer
15 years 4 months ago
A Linear-Time Burrows-Wheeler Transform Using Induced Sorting
To compute Burrows-Wheeler Transform (BWT), one usually builds a suffix array (SA) first, and then obtains BWT using SA, which requires much redundant working space. In previous ...
Daisuke Okanohara, Kunihiko Sadakane