Browsing College of Engineering and Informatics by Subject "Machine learning"
Now showing items 1-9 of 9
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Deep learning for consumer devices and services: Pushing the limits for machine learning, artificial intelligence, and computer vision
(Institute of Electrical and Electronics Engineers (IEEE), 2017-04)In the last few years, we have witnessed an exponential growth in research activity into the advanced training of convolutional neural networks (CNNs), a field that has become known as deep learning. This has been triggered ... -
Designing environmentally efficient aquafeeds through the use of multicriteria decision support tools
(Elsevier, 2021-05-21)Aquaculture is the fastest growing food production system, and the sector accounts for more than half of all fish consumed. Its potential as a sustainable food source has been recognised within the EU Farm to Fork strategy ... -
The Effect of Principal Component Analysis on Machine Learning Accuracy with High Dimensional Spectral Data
(2005)The classi¿cation of high dimensional data, such as images, gene-expression data and spectral data, poses an interesting challenge to machine learning, as the presence of high numbers of redundant or highly correlated ... -
An evolutionary approach to automatic kernel construction
(2006)Abstract. Kernel-based learning presents a unified approach to machine learning problems such as classification and regression. The selection of a kernel and associated parameters is a critical step in the application of ... -
A Machine Learning Application for Classification of Chemical Spectra
(2008)This paper presents a software package that allows chemists to analyze spectroscopy data using innovative machine learning (ML) techniques. The package, designed for use in conjunction with lab-based spectroscopic ... -
Multi-Class and Single-Class Classification Approaches to Vehicle Model Recognition from Images
(2005)This paper investigates the use of machine learning classification techniques applied to the task of recognising the make and model of vehicles. Although a number of vehicle classification systems already exist, most of ... -
Qualitative and Quantitative Analysis of Chlorinated Solvents using Raman Spectroscopy and Machine Learning
(2005)The unambiguous identification and quantification of hazardous materials is of increasing importance in many sectors such as waste disposal, pharmaceutical manufacturing, and environmental protection. One particular ... -
Semiparallel deep neural network hybrid architecture: first application on depth from monocular camera
(Society of Photo-optical Instrumentation Engineers (SPIE), 2018-08-07)Deep neural networks have been applied to a wide range of problems in recent years. Convolutional neural network is applied to the problem of determining the depth from a single camera image (monocular depth). Eight different ... -
Smart augmentation learning an optimal data augmentation strategy
(Institute of Electrical and Electronics Engineers (IEEE), 2017-04-24)A recurring problem faced when training neural networks is that there is typically not enough data to maximize the generalization capability of deep neural networks. There are many techniques to address this, including ...