Automatically evolving rotation-invariant texture image descriptors by genetic programming
H Al-Sahaf, A Al-Sahaf, B Xue… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
In computer vision, training a model that performs classification effectively is highly
dependent on the extracted features, and the number of training instances. Conventionally …
dependent on the extracted features, and the number of training instances. Conventionally …
Keypoints detection and feature extraction: A dynamic genetic programming approach for evolving rotation-invariant texture image descriptors
H Al-Sahaf, M Zhang, A Al-Sahaf… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The goodness of the features extracted from the instances and the number of training
instances are two key components in machine learning, and building an effective model is …
instances are two key components in machine learning, and building an effective model is …
Binary image classification: A genetic programming approach to the problem of limited training instances
H Al-Sahaf, M Zhang, M Johnston - Evolutionary Computation, 2016 - direct.mit.edu
In the computer vision and pattern recognition fields, image classification represents an
important yet difficult task. It is a challenge to build effective computer models to replicate the …
important yet difficult task. It is a challenge to build effective computer models to replicate the …
Genetic programming for automatically synthesising robust image descriptors with a small number of instances
H Al-Sahaf - 2017 - openaccess.wgtn.ac.nz
Image classification is a core task in many applications of computer vision, including object
detection and recognition. It aims at analysing the visual content and automatically …
detection and recognition. It aims at analysing the visual content and automatically …
Feature Extraction and Image Classification Using Particle Swarm Optimization by Evolving Rotation-Invariant Image Descriptors
BAA Lekshmi, JA Linsely, MPF Queen… - … on Emerging Trends …, 2018 - ieeexplore.ieee.org
In the system proposed here an algorithm for feature extraction and classification of image
by using particle swarm optimization (PSO) is implemented. The effective performance in …
by using particle swarm optimization (PSO) is implemented. The effective performance in …
Explorations in Parallel Linear Genetic Programming
C Downey - 2011 - openaccess.wgtn.ac.nz
Linear Genetic Programming (LGP) is a powerful problem-solving technique, but one with
several significant weaknesses. LGP programs consist of a linear sequence of instructions …
several significant weaknesses. LGP programs consist of a linear sequence of instructions …