Browsing School of Computer Science and Informatics by Subject "feature extraction"
Now showing items 1-7 of 7
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Acoustic scene classification: from a hybrid classifier to deep learning
(Conference)This report describes our contribution to the 2017 Detection and Classification of Acoustic Scenes and Events (DCASE) challenge. We investigated two approaches for the acoustic scene classification task. Firstly, we ... -
Application of growing hierarchical SOM for visualisation of network forensics traffic data
(Article)Digital investigation methods are becoming more and more important due to the proliferation of digital crimes and crimes involving digital evidence. Network forensics is a research area that gathers evidence by collecting ... -
Cooperative and distributed decision-making in a multi-agent perception system for improvised land mines detection
(Article)This work presents a novel intelligent system designed using a multi-agent hardware platform to detect improvised explosive devices concealed in the ground. Each agent is equipped with a different sensor, (i.e. a ... -
Human attention-based regions of interest extraction using computational intelligence
(Conference)Machine vision is still a challenging topic and attracts researchers to carry out researches in this field. Efforts have been placed to design machine vision systems (MVS) that are inspired by human vision system (HVS). ... -
A new gaze points agglomerative clustering algorithm and its application in regions of interest extraction
(Conference)In computer vision applications it is necessary to extract the regions of interest in order to reduce the search space and to improve image contents identification. Human-Oriented Regions of Interest can be extracted by ... -
Validation of convolutional layers in deep learning models to identify patterns in multispectral images: Identification of palm units
(Preprint)The convolutional neural networks (CNN) are considered as a particular case of the Deep Learning neural networks, and have been widely used for the extraction of features in images, audio files or text recognition. For the ...