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MICRO
2005
IEEE
130views Hardware» more  MICRO 2005»
15 years 6 months ago
Exploiting Vector Parallelism in Software Pipelined Loops
An emerging trend in processor design is the addition of short vector instructions to general-purpose and embedded ISAs. Frequently, these extensions are employed using traditiona...
Samuel Larsen, Rodric M. Rabbah, Saman P. Amarasin...
115
Voted
ICDAR
2011
IEEE
14 years 4 days ago
Lexicon-Free, Novel Segmentation of Online Handwritten Indic Words
—Research in the field of recognizing unlimited vocabulary, online handwritten Indic words is still in its infancy. Most of the focus so far has been in the area of isolated cha...
Suresh Sundaram, A. G. Ramakrishnan
143
Voted
IJCNN
2007
IEEE
15 years 6 months ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Gavin C. Cawley, Nicola L. C. Talbot
109
Voted
CORR
2006
Springer
130views Education» more  CORR 2006»
15 years 17 days ago
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
Christian Gagné, Marc Schoenauer, Mich&egra...
JAVA
2001
Springer
15 years 5 months ago
Supporting dynamic parallel object arrays
We present efficient support for generalized arrays of parallel data driven objects. Array elements are regular C++ objects, and are scattered across the parallel machine. An indi...
Orion Sky Lawlor, Laxmikant V. Kalé