Bae-Muu Chang

According to our database, Bae-Muu Chang authored at least 10 papers between 2007 and 2017.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2017

Design of Solving Similarity Recognition for Cloth Products Based on Fuzzy Logic and Particle Swarm Optimization Algorithm.

Bae-Muu Chang

KSII Trans. Internet Inf. Syst., 2017

2016

SVM-PSO based rotation-invariant image texture classification in SVD and DWT domains.

Bae-Muu Chang, Hung-Hsu Tsai, Chih-Yuan Yen

Eng. Appl. Artif. Intell., 2016

2014

A Neuro-Fuzzy System Combined with Particle Swarm Optimization for Handwritten Character Recognition.

Bae-Muu Chang

Fundam. Informaticae, 2014

Using fuzzy logic and particle swarm optimization to design a decision-based filter for cDNA microarray image restoration.

Bae-Muu Chang, Hung-Hsu Tsai, Ji-Shiang Shih

Eng. Appl. Artif. Intell., 2014

Rotation-invariant texture image retrieval using particle swarm optimization and support vector regression.

Hung-Hsu Tsai, Bae-Muu Chang, Shin-Hung Liou

Appl. Soft Comput., 2014

2013

Using visual features to design a content-based image retrieval method optimized by particle swarm optimization algorithm.

Bae-Muu Chang, Hung-Hsu Tsai, Wen-Ling Chou

Eng. Appl. Artif. Intell., 2013

2012

Using decision tree, particle swarm optimization, and support vector regression to design a median-type filter with a 2-level impulse detector for image enhancement.

Hung-Hsu Tsai, Bae-Muu Chang, Xuan-Ping Lin

Inf. Sci., 2012

2010

Design of median-type filters with an impulse noise detector using decision tree and particle swarm optimization for image restoration.

Bae-Muu Chang, Hung-Hsu Tsai, Xuan-Ping Lin, Pao-Ta Yu

Comput. Sci. Inf. Syst., 2010

2008

A High Performance Filter Based on Statistic Methods for Image Processing.

Pao-Ta Yu, Yui-Lang Chen, Bae-Muu Chang

Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008

2007

Character Recognition Based on Neural Network and Dempster-Shafer Theory.

Bae-Muu Chang, Hung-Hsu Tsai, Pao-Ta Yu

Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007