Sciweavers

5802 search results - page 256 / 1161
» Parallelizing Feature Selection
Sort
View
169
Voted
ICDAR
2011
IEEE
14 years 3 months ago
A New Feature Optimization Method Based on Two-Directional 2DLDA for Handwritten Chinese Character Recognition
—LDA transformation is one of the popular feature dimension reduction techniques for the feature extraction in most handwritten Chinese characters recognition systems. The integr...
Xue Gao, Wenhuan Wen, Lianwen Jin
161
Voted
ICS
2005
Tsinghua U.
15 years 9 months ago
What is worth learning from parallel workloads?: a user and session based analysis
Learning useful and predictable features from past workloads and exploiting them well is a major source of improvement in many operating system problems. We review known parallel ...
Julia Zilber, Ofer Amit, David Talby
131
Voted
BMCBI
2005
107views more  BMCBI 2005»
15 years 3 months ago
ProbeMaker: an extensible framework for design of sets of oligonucleotide probes
Background: Procedures for genetic analyses based on oligonucleotide probes are powerful tools that can allow highly parallel investigations of genetic material. Such procedures r...
Johan Stenberg, Mats Nilsson, Ulf Landegren
162
Voted
IPPS
2010
IEEE
15 years 1 months ago
Structuring the execution of OpenMP applications for multicore architectures
Abstract--The now commonplace multi-core chips have introduced, by design, a deep hierarchy of memory and cache banks within parallel computers as a tradeoff between the user frien...
François Broquedis, Olivier Aumage, Brice G...
CVPR
2007
IEEE
16 years 5 months ago
Detecting Pedestrians by Learning Shapelet Features
In this paper, we address the problem of detecting pedestrians in still images. We introduce an algorithm for learning shapelet features, a set of mid?level features. These featur...
Payam Sabzmeydani, Greg Mori