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109
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NN
2008
Springer
201views Neural Networks» more  NN 2008»
15 years 17 days 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
122
Voted
MICRO
2006
IEEE
113views Hardware» more  MICRO 2006»
15 years 17 days 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 16 days 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
123
Voted
BIOINFORMATICS
2005
140views more  BIOINFORMATICS 2005»
15 years 16 days 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 16 days 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