Search Results - "Allinson, Nigel M"
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A comprehensive review of current local features for computer vision
Published in Neurocomputing (Amsterdam) (01-06-2008)“…Local features are widely utilized in a large number of applications, e.g., object categorization, image retrieval, robust matching, and robot localization. In…”
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A hybrid model for predicting human physical activity status from lifelogging data
Published in European journal of operational research (16-03-2020)“…•A real-time monitoring system of individual lifelogging data using wearable sensors.•A novel hybrid model to predict find-grained physical activity status…”
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Image denoising using self-organizing map-based nonlinear independent component analysis
Published in Neural networks (01-10-2002)“…This paper proposes the use of self-organizing maps (SOMs) to the blind source separation (BSS) problem for nonlinearly mixed signals corrupted with…”
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PRaVDA: The first solid-state system for proton computed tomography
Published in Physica medica (01-11-2018)“…•A novel proton CT imaging system, based entirely on solid-state detector technology.•First proton CT scan with solid-state detectors.•Potential for short scan…”
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Towards real-time VMAT verification using a prototype, high-speed CMOS active pixel sensor
Published in Physics in medicine & biology (21-05-2013)“…This work investigates the feasibility of using a prototype complementary metal oxide semiconductor active pixel sensor (CMOS APS) for real-time verification…”
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Modified Steepest-Descent for Bit Allocation in Strongly Dependent Video Coding
Published in IEEE transactions on circuits and systems for video technology (01-07-2009)“…The problem of efficient bit allocation for dependent video coding within the context of ascribing a quantizer to each macroblock (MB) within a frame is…”
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Basis function models of the CMAC network
Published in Neural networks (1999)“…An interpretation of the Cerebellar Model Articulation Controller (CMAC) network as a member of the General Memory Neural Network (GMNN) architecture is…”
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N-tuple Regression Network
Published in Neural networks (01-07-1996)“…N-tuple neural networks (NTNNs) have been successfully applied to both pattern recognition and function approximation tasks. Their main advantages include a…”
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Imaging of moving fiducial markers during radiotherapy using a fast, efficient active pixel sensor based EPID
Published in Medical physics (Lancaster) (01-11-2011)“…Purpose: The purpose of this work was to investigate the use of an experimental complementary metal-oxide-semiconductor (CMOS) active pixel sensor (APS) for…”
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Testing of gadolinium oxy-sulphide phosphors for use in CCD-based X-ray detectors for macromolecular crystallography
Published in Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment (21-01-2002)“…The resolution and detective quantum efficiency of CCD-based detectors used for X-ray diffraction is primarily affected by the layer of phosphor that converts…”
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Automated encoding of footwear patterns for fast indexing
Published in Image and vision computing (03-03-2009)“…The rapid and robust identification of a suspect’s footwear while he/she is in police custody is an essential component in any system that makes full use of…”
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Combining lateral and elastic interactions: Topology-preserving elastic nets
Published in Neural processing letters (01-06-2002)“…We have developed a topology-preserving elastic net which combines both lateral and synaptic interactions to obtain topologically ordered representations…”
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A Charge Coupled Device Array Detector for Single-Wavelength and Multiwavelength Ultraviolet Absorbance in Capillary Electrophoresis
Published in Analytical chemistry (Washington) (01-10-1999)“…A fundamental limitation to the use of single-point absorbance detection for capillary electrophoresis is irradiance, since it is not possible to create an…”
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Subspace learning-based dimensionality reduction in building recognition
Published in Neurocomputing (Amsterdam) (01-12-2009)“…Building recognition is a relatively specific recognition task in object recognition, which is challenging since it encounters rotation, scaling, illumination…”
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A double area detector system for simultaneous small and wide-angle X-ray scattering
Published in Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment (21-01-2002)“…A novel area detector has been designed for material science SR studies, capable of simultaneously collecting the diffraction data in two angular regimes. The…”
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Large area high-resolution CCD-based X-ray detector for macromolecular crystallography
Published in Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment (21-01-2002)“…An X-ray detector system for macromolecular crystallography based on a large area charge-coupled device (CCD) sensor has been developed as part of a large…”
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Long-term learning in content-based image retrieval
Published in International journal of imaging systems and technology (2008)“…In content‐based image retrieval, relevance feedback is an interactive process, which builds a bridge to connect users with the search engine. It leads to much…”
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Abstract ID: 139 Monte Carlo simulations for imaging in proton therapy
Published in Physica medica (01-10-2017)“…Proton therapy is rapidly gaining importance in the field of radiotherapy, because of its potential to deliver the planned dose over a small depth range and…”
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Characterisation of regional variations in a stitched CMOS active pixel sensor
Published in Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment (2010)“…Stitched, large area, complementary metal-oxide-semiconductor (CMOS), active pixel sensors (APS) show promises for X-ray imaging applications. In this paper we…”
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A hybrid model for predicting human physical activity status from lifelogging data
Published 12-12-2019“…European Journal of Operational Research, 281(3): 532-542, 2020 One trend in the recent healthcare transformations is people are encouraged to monitor and…”
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