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NN
2008
Springer
201views Neural Networks» more  NN 2008»
15 years 2 months ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio
129
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MICRO
2006
IEEE
113views Hardware» more  MICRO 2006»
15 years 2 months ago
Exploiting Fine-Grained Data Parallelism with Chip Multiprocessors and Fast Barriers
We examine the ability of CMPs, due to their lower onchip communication latencies, to exploit data parallelism at inner-loop granularities similar to that commonly targeted by vec...
Jack Sampson, Rubén González, Jean-F...
TEC
2008
139views more  TEC 2008»
15 years 2 months ago
Genetic Programming Approaches for Solving Elliptic Partial Differential Equations
In this paper, we propose a technique based on genetic programming (GP) for meshfree solution of elliptic partial differential equations. We employ the least-squares collocation pr...
Andras Sobester, Prasanth B. Nair, Andy J. Keane
BIOINFORMATICS
2005
140views more  BIOINFORMATICS 2005»
15 years 2 months ago
Profile-based direct kernels for remote homology detection and fold recognition
Motivation: Remote homology detection between protein sequences is a central problem in computational biology. Supervised learning algorithms based on support vector machines are ...
Huzefa Rangwala, George Karypis
JALC
2007
79views more  JALC 2007»
15 years 2 months ago
Two-Way Finite Automata with a Write-Once Track
The basic finite automata model has been extended over the years with different acceptance modes (nondeterminism, alternation), new or improved devices (two-way heads, pebbles, ...
Berke Durak