Optimized features selection for gender classification using optimization algorithms

TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES ◽

10.3906/elk-1203-51 ◽

2013 ◽

pp. 1479-1494 ◽

Author(s):

Sajid Ali KHAN ◽

Muhammad NAZIR ◽

Naveed RIAZ

Keyword(s):

Optimization Algorithms ◽

Gender Classification ◽

Features Selection ◽

Download Full-text

Novel features selection for gender classification

2013 IEEE International Conference on Mechatronics and Automation ◽

10.1109/icma.2013.6618016 ◽

2013 ◽

Author(s):

Jiann-Der Lee ◽

Chun-Yi Lin ◽

Chung-Hsien Huang

Keyword(s):

Gender Classification ◽

Features Selection ◽

Download Full-text

The Mathematical Model and Deep Learning Features Selection for Whorl Fingerprint Classifications

International Journal of Computational Intelligence Systems ◽

10.2991/ijcis.d.210318.002 ◽

2021 ◽

Author(s):

Ibrahim Jawarneh ◽

Nesreen Alsharman

Keyword(s):

Mathematical Model ◽

Deep Learning ◽

Features Selection ◽

Deep Learning Features ◽

Selection For ◽

The Mathematical Model

Download Full-text

Texture Features Selection for Visual Servoing of the Beating Heart

The First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006. BioRob 2006. ◽

10.1109/biorob.2006.1639109 ◽

2006 ◽

Author(s):

A. Noce ◽

J. Triboulet ◽

P. Poignet ◽

E. Dombre

Keyword(s):

Visual Servoing ◽

Texture Features ◽

Beating Heart ◽

Features Selection ◽

Download Full-text

Rule based features selection for the performance improvement of face recognition system

2013 International Conference on Emerging Trends in Communication, Control, Signal Processing and Computing Applications (C2SPCA) ◽

10.1109/c2spca.2013.6749387 ◽

2013 ◽

Author(s):

Vasudha S ◽

Neelamma K. Patil ◽

Lokesh R. Boregowda

Keyword(s):

Face Recognition ◽

Performance Improvement ◽

Recognition System ◽

Features Selection ◽

Face Recognition System ◽

Download Full-text

An Image Processing Method Based on Features Selection for Crop Plants and Weeds Discrimination Using RGB Images

Lecture Notes in Computer Science - Image and Signal Processing ◽

10.1007/978-3-319-94211-7_1 ◽

2018 ◽

pp. 3-10 ◽

Author(s):

Ali Ahmad ◽

Rémy Guyonneau ◽

Franck Mercier ◽

Étienne Belin

Keyword(s):

Image Processing ◽

Processing Method ◽

Crop Plants ◽

Features Selection ◽

Image Processing Method ◽

Download Full-text

Semi-supervised Feature Selection for Gender Classification

Computer Vision – ACCV 2009 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-12304-7_3 ◽

2010 ◽

pp. 23-33 ◽

Author(s):

Jing Wu ◽

William A. P. Smith ◽

Edwin R. Hancock

Keyword(s):

Feature Selection ◽

Gender Classification ◽

Download Full-text

Object Signature Features Selection for Handwritten Jawi Recognition

Advances in Intelligent and Soft Computing - Distributed Computing and Artificial Intelligence ◽

10.1007/978-3-642-14883-5_88 ◽

2010 ◽

pp. 689-698

Author(s):

Mohammad Faidzul Nasrudin ◽

Khairuddin Omar ◽

Choong-Yeun Liong ◽

Mohamad Shanudin Zakaria

Keyword(s):

Features Selection ◽

Download Full-text

Features Selection for Training Generator Excitation Neurocontroller Using Statistical Methods

Software Engineering and Computer Systems - Communications in Computer and Information Science ◽

10.1007/978-3-642-22170-5_31 ◽

2011 ◽

pp. 353-364

Author(s):

Abdul Ghani Abro ◽

Junita Mohamad Saleh ◽

Syafrudin bin Masri

Keyword(s):

Statistical Methods ◽

Features Selection ◽

Download Full-text

Feature Selection for Gender Classification

Pattern Recognition and Image Analysis - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21257-4_10 ◽

2011 ◽

pp. 76-83 ◽

Author(s):

Zhihong Zhang ◽

Edwin R. Hancock

Keyword(s):

Feature Selection ◽

Gender Classification ◽

Download Full-text

A study on flow features selection for malicious activities detection in software defined networks

2018 International Conference on Military Communications and Information Systems (ICMCIS) ◽

10.1109/icmcis.2018.8398697 ◽

2018 ◽

Author(s):

Damian Jankowski ◽

Marek Amanowicz

Keyword(s):

Features Selection ◽

Software Defined Networks ◽

Flow Features ◽

Download Full-text