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ICDM
2007
IEEE
136views Data Mining» more  ICDM 2007»
15 years 8 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 9 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 7 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 5 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»
15 years 11 months 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