Soft computing approaches for image segmentation: a survey

SS Chouhan, A Kaul, UP Singh - Multimedia Tools and Applications, 2018 - Springer
Image segmentation is the method of partitioning an image into a group of pixels that are
homogenous in some manner. The homogeneity dependents on some attributes like …

Hybrid deep learning-Gaussian process network for pedestrian lane detection in unstructured scenes

TNA Nguyen, SL Phung… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Pedestrian lane detection is an important task in many assistive and autonomous navigation
systems. This article presents a new approach for pedestrian lane detection in unstructured …

Real-time pedestrian lane detection for assistive navigation using neural architecture search

SP Ang, SL Phung, A Bouzerdoum… - 2020 25th …, 2021 - ieeexplore.ieee.org
Pedestrian lane detection is a core component in many assistive and autonomous
navigation systems. These systems are usually deployed in environments that require …

Fast lane detection based on deep convolutional neural network and automatic training data labeling

X Pan, H Ogai - IEICE Transactions on Fundamentals of …, 2019 - search.ieice.org
Lane detection or road detection is one of the key features of autonomous driving. In
computer vision area, it is still a very challenging target since there are various types of road …

[PDF][PDF] Scalable Hierarchical Gaussian Process Models for Regression and Pattern Classification

TNA Nguyen - 2019 - ro.uow.edu.au
3.1 Graphical representation of the hierarchical mixture of Gaussian processexpertsmodel....
....................... 28 3.2 SMSE and MSLL as functions of training time for the apartment price …

[CITARE][C] Retinal fundus görüntülerinde sınıflandırma ve bölütleme

SA Arpaci - Fen Bilimleri Enstitüsü