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97
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ICPR
2010
IEEE
15 years 5 months 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 5 months 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 6 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
123
Voted
CGO
2009
IEEE
15 years 9 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...
126
Voted
SPIRE
2009
Springer
15 years 9 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