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Kennedy Chengeta
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2020 – today
- 2021
- [c9]Kennedy Chengeta:
Comparing the performance between Virtual Machines and Containers using deep learning credit models. icARTi 2021: 11:1-11:8
2010 – 2019
- 2019
- [c8]Kennedy Chengeta:
Enhanced Feature Selection for Facial Expression Recognition Systems with Genetic Algorithms. EANN 2019: 176-187 - [c7]Kennedy Chengeta, Serestina Viriri
:
Image Preprocessing Techniques for Facial Expression Recognition with Canny and Kirsch Edge Detectors. ICCCI (2) 2019: 85-96 - [c6]Kennedy Chengeta, Serestina Viriri
:
A Review of Local, Holistic and Deep Learning Approaches in Facial Expressions Recognition. ICTAS 2019: 1-7 - [c5]Kennedy Chengeta:
A Review of Local Feature Algorithms and Deep Learning Approaches in Facial Expression Recognition with Tensorflow and Keras. MCPR 2019: 127-138 - 2018
- [c4]Kennedy Chengeta, Serestina Viriri
:
Facial Expression Recognition using Local Directional Pattern variants and Deep Learning. ACAI 2018: 31:1-31:7 - [c3]Kennedy Chengeta, Serestina Viriri
:
Facial Expression Recognition: A Survey on Local Binary and Local Directional Patterns. ICCCI (1) 2018: 513-522 - [c2]Kennedy Chengeta, Serestina Viriri
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A survey on facial recognition based on local directional and local binary patterns. ICTAS 2018: 1-6 - [c1]Kennedy Chengeta:
Comparative Analysis of Emotion Detection from Facial Expressions and Voice Using Local Binary Patterns and Markov Models: Computer Vision and Facial Recognition. ICVISP 2018: 27:1-27:6
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