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JMLR
2012
11 years 10 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...
MPC
1995
Springer
116views Mathematics» more  MPC 1995»
13 years 11 months ago
Computer-Aided Computing
PVS is a highly automated framework for speci cation and veri cation. We show how the language and deduction features of PVS can be used to formalize, mechanize, and apply some us...
Natarajan Shankar
PPDP
2009
Springer
14 years 2 months ago
An embedded declarative data transformation language
We introduce a logic programming framework for data type transformations based on isomorphisms between elementary data types (natural numbers, finite functions, sets and permutat...
Paul Tarau
AMAST
2008
Springer
13 years 9 months ago
System Demonstration of Spiral: Generator for High-Performance Linear Transform Libraries
We demonstrate Spiral, a domain-specific library generation system. Spiral generates high performance source code for linear transforms (such as the discrete Fourier transform and ...
Yevgen Voronenko, Franz Franchetti, Fréd&ea...
POPL
1997
ACM
13 years 12 months ago
Synchronization Transformations for Parallel Computing
As parallel machines become part of the mainstream computing environment, compilers will need to apply synchronization optimizations to deliver e cient parallel software. This pap...
Pedro C. Diniz, Martin C. Rinard