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ICDM
2007
IEEE
136views Data Mining» more  ICDM 2007»
15 years 10 months ago
Data Discretization Unification
Data discretization is defined as a process of converting continuous data attribute values into a finite set of intervals with minimal loss of information. In this paper, we prove...
Ruoming Jin, Yuri Breitbart, Chibuike Muoh
IPPS
1998
IEEE
15 years 10 months ago
High Performance Linear Algebra Package LAPACK90
Abstract. LAPACK90 is a set of LAPACK90 subroutines which interfaces FORTRAN90 with LAPACK. All LAPACK driver subroutines including expert drivers and some LAPACK computationals ha...
Jack Dongarra, Jerzy Wasniewski
JMLR
2012
13 years 8 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...
ICPR
2006
IEEE
16 years 7 months ago
Recover Writing Trajectory from Multiple Stroked Image Using Bidirectional Dynamic Search
The recovery of writing trajectory from offline handwritten image is generally regarded as a difficult problem [1]. This paper introduced a method to recover the writing trajector...
Yu Qiao, Makoto Yasuhara
APPROX
2009
Springer
156views Algorithms» more  APPROX 2009»
16 years 28 days ago
Small-Bias Spaces for Group Products
Small-bias, or -biased, spaces have found many applications in complexity theory, coding theory, and derandomization. We generalize the notion of small-bias spaces to the setting ...
Raghu Meka, David Zuckerman