Genetic programming based feature construction methods for foreground object segmentation-Reference-Cited by-同舟云学术

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Genetic programming based feature construction methods for foreground object segmentation

Published:2020-03 Issue: Volume:89 Page:103334
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Liang Jiayu,Xue Yu,Wang Jianming

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference45 articles.

1. Multiple feature construction for effective biomarker identification and classification using genetic programming;Ahmed,2014

2. Alpert, M., Galun, S., Basri, R., Brandt, A., Image segmentation by probabilistic bottom-up aggregation and cue integration, CVPR.

3. Feature construction using genetic programming for classification of images by aesthetic value;Bishop,2014

4. Borenstein, E., Weizmann horse database, Available at http://www.msri.org/people/members/eranb/.

5. Learning to segment;Borenstein,2004

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3. Programming Course Student Performance Prediction based on Feature Construction;2022 5th International Conference on Data Science and Information Technology (DSIT);2022-07-22

4. Novel automatic model construction method for the rapid characterization of petroleum properties from near-infrared spectroscopy;Fuel;2022-05

5. SPPPred: Sequence-based Protein-Peptide binding residue Prediction using genetic programming and ensemble learning;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2022

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