Sciweavers

PR
2006
229views more  PR 2006»
13 years 4 months ago
FS_SFS: A novel feature selection method for support vector machines
In many pattern recognition applications, high-dimensional feature vectors impose a high computational cost as well as the risk of "overfitting". Feature Selection addre...
Yi Liu, Yuan F. Zheng
PPL
2008
88views more  PPL 2008»
13 years 4 months ago
Evaluating Computational Costs while Handling Data and Control Parallelism
The aim of this work is to introduce a computational costs system associated to a semantic framework for orthogonal data and control parallelism handling. In such a framework a pa...
Sonia Campa
IJVR
2008
106views more  IJVR 2008»
13 years 4 months ago
Improved View Frustum Culling Technique for Real-Time Virtual Heritage Application
Real-time virtual heritage application is normally executed with a high performance computer system. This is due to the complexity and highly computational cost which makes such sy...
Mohd Shahrizal Sunar, Abdullah Mohd Zin, Tengku M....
CSDA
2006
91views more  CSDA 2006»
13 years 4 months ago
Maximum a posteriori pruning on decision trees and its application to bootstrap BUMPing
The cost-complexity pruning generates nested subtrees and selects the best one. However, its computational cost is large since it uses holdout sample or cross-validation. On the o...
Jinseog Kim, Yongdai Kim
BMCBI
2006
126views more  BMCBI 2006»
13 years 4 months ago
Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass ge
Background: Due to the large number of genes in a typical microarray dataset, feature selection looks set to play an important role in reducing noise and computational cost in gen...
Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
CGF
2010
164views more  CGF 2010»
13 years 4 months ago
Real-Time Temporal-Coherent Color Contrast Enhancement for Dichromats
We present an automatic image-recoloring technique for enhancing color contrast for dichromats whose computational cost varies linearly with the number of input pixels. Our approa...
Gustavo M. Machado, Manuel M. Oliveira
GECCO
2008
Springer
363views Optimization» more  GECCO 2008»
13 years 5 months ago
Towards high speed multiobjective evolutionary optimizers
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder
GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
13 years 5 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
ACL
2006
13 years 5 months ago
Improving the Scalability of Semi-Markov Conditional Random Fields for Named Entity Recognition
This paper presents techniques to apply semi-CRFs to Named Entity Recognition tasks with a tractable computational cost. Our framework can handle an NER task that has long named e...
Daisuke Okanohara, Yusuke Miyao, Yoshimasa Tsuruok...
ICWS
2010
IEEE
13 years 5 months ago
Towards Data-Aware QoS-driven Adaptation for Service Orchestrations
Several activities in service oriented computing can benefit from the knowledge of properties of a given service composition ahead of time. We will focus here on properties related...
Dragan Ivanovic, Manuel Carro, Manuel V. Hermenegi...