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VLSISP
2011
358views Database» more  VLSISP 2011»
15 years 1 months ago
Accelerating Machine-Learning Algorithms on FPGAs using Pattern-Based Decomposition
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
CORR
2007
Springer
103views Education» more  CORR 2007»
15 years 6 months ago
Interactive Small-Step Algorithms I: Axiomatization
Abstract. In earlier work, the Abstract State Machine Thesis — that arbitrary algore behaviorally equivalent to abstract state machines — was established for several classes of...
Andreas Blass, Yuri Gurevich, Dean Rosenzweig, Ben...
ICML
2005
IEEE
16 years 7 months ago
Object correspondence as a machine learning problem
We propose machine learning methods for the estimation of deformation fields that transform two given objects into each other, thereby establishing a dense point to point correspo...
Bernhard Schölkopf, Florian Steinke, Volker B...
CSSE
2008
IEEE
16 years 1 months ago
Design and Implementation of the Virtual Machine Constructing on Register
: The technology of virtual machines is widely applied in many fields, such as code transplanting, cross-platform computing, and hardware simulation. The main purpose is to simulat...
Weibo Xie, Fu Ting
ENTCS
2006
114views more  ENTCS 2006»
15 years 6 months ago
Synthesis of Mealy Machines Using Derivatives
In Rutten [13] the theoretical basis was given for the synthesis of binary Mealy machines from specifications in 2-adic arithmetic. This construction is based on the symbolic comp...
Helle Hvid Hansen, David Costa, Jan J. M. M. Rutte...