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Parameter optimization in ε-filter for acoustical signal based on correlation coefficient
2009 Edition, May 1, 2009 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

epsiv-filter can reduce most kinds of noise from a single-channel noisy signal with preserving the signal that varies drastically such as a speech signal. The filter design is simple and it can effectively reduce noise. It can reduce not only stationary noise but...

Automatic parameter optimization of ε-filter for acoustical signal based on cross correlation
2009 Edition, September 1, 2009 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

epsiv-filter can reduce most kinds of noise from a single-channel noisy signal with preserving the signal that varies drastically such as a speech signal. It can reduce not only stationary noise but also nonstationary noise. However, it has some parameters whose...

Adaptive ε-filter based on signal-noise decorrelation
2009 Edition, December 1, 2009 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper presents an adaptive ε-filter based on signal-noise decorrelation. ε-filter is a nonlinear filter to reduce noise and can be applied not only to speech signals but also to image signals. The filter design is...

Sequential parameter optimization
2005 Edition, Volume 1, January 1, 2005 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Sequential parameter optimization is a heuristic that combines classical and modern statistical techniques to improve the performance of search algorithms. To demonstrate its flexibility, three scenarios are discussed: (1) no experience how to choose the parameter setting of an...

Parameter setting of self-quotient ε-filter using HOG feature distance
2011 Edition, April 1, 2011 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper describes parameter setting of self-quotient ε-filter (SQEF) using Histograms of Oriented Gradients (HOG) feature distance. Parameter setting problem is generally solved by maximization or minimization of some objective evaluation functions such as...

Real-parameter optimization with OptBees
2014 Edition, July 1, 2014 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper reports how OptBees, an algorithm inspired by the collective decision-making of bee colonies, performed in the test bed developed for the Special Session & Competition on Real-Parameter Single Objective Optimization at CEC-2014. The test bed includes 30...

The Impact of Automated Parameter Optimization on Defect Prediction Models
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Defect prediction models---classifiers that identify defect-prone software modules---have configurable parameters that control their characteristics (e.g., the number of trees in a random forest). Recent studies show that these classifiers underperform when default settings are used....

Single objective real-parameter optimization: Algorithm jSO
2017 Edition, June 1, 2017 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Solving single objective real-parameter optimization problems, also known as a bound-constrained optimization, is still a challenging task. We can find such problems in engineering optimization, scientific applications, and in other real-world problems....

Parameter optimization for hybrid auto-scaling mechanism
2016 Edition, November 1, 2016 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Elastic resource scaling is a key feature of cloud computing. The most popular approach to managing elasticity is scale-out, but this approach sometime incurs performance problems, especially for service with rapid workload change. So we proposed the hybrid auto-scaling method which use both...

High-Quality Immunohistochemical Stains through Computational Assay Parameter Optimization
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Accurate profiling of tumors using immunohistochemistry (IHC) is essential in cancer diagnosis. The inferences drawn from IHC-stained images depend to a great extent on the quality of immunostaining, which is in turn affected strongly by assay parameters. To...

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