Search Results for author: David Windridge

Found 11 papers, 1 papers with code

VALD-MD: Visual Attribution via Latent Diffusion for Medical Diagnostics

no code implementations2 Jan 2024 Ammar A. Siddiqui, Santosh Tirunagari, Tehseen Zia, David Windridge

Visual attribution in medical imaging seeks to make evident the diagnostically-relevant components of a medical image, in contrast to the more common detection of diseased tissue deployed in standard machine vision pipelines (which are less straightforwardly interpretable/explainable to clinicians).

MS-SSIM SSIM

The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning

no code implementations22 Dec 2022 Massimiliano Incudini, Michele Grossi, Antonio Mandarino, Sofia Vallecorsa, Alessandra Di Pierro, David Windridge

A key issue is how to address the inherent non-linearity of classical deep learning, a problem in the quantum domain due to the fact that the composition of an arbitrary number of quantum gates, consisting of a series of sequential unitary transformations, is intrinsically linear.

Quantum Machine Learning

Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation

no code implementations10 May 2021 Hojjat Navidan, Parisa Fard Moshiri, Mohammad Nabati, Reza Shahbazian, Seyed Ali Ghorashi, Vahid Shah-Mansouri, David Windridge

Despite the recency of their conception, Generative Adversarial Networks (GANs) constitute an extensively researched machine learning sub-field for the creation of synthetic data through deep generative modeling.

BIG-bench Machine Learning

Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach

1 code implementation5 May 2021 Mohammad Nabati, Hojjat Navidan, Reza Shahbazian, Seyed Ali Ghorashi, David Windridge

Various solutions have been proposed in the literature to reduce this cost, such as crowdsourced data collection, or the use of semi-supervised algorithms.

Using GAN to Enhance the Accuracy of Indoor Human Activity Recognition

no code implementations23 Apr 2020 Parisa Fard Moshiri, Hojjat Navidan, Reza Shahbazian, Seyed Ali Ghorashi, David Windridge

Indoor human activity recognition (HAR) explores the correlation between human body movements and the reflected WiFi signals to classify different activities.

Generative Adversarial Network Human Activity Recognition

Automatic Delineation of Kidney Region in DCE-MRI

no code implementations26 May 2019 Santosh Tirunagari, Norman Poh, Kevin Wells, Miroslaw Bober, Isky Gorden, David Windridge

To address this issue, we present Dynamic Mode Decomposition (DMD) coupled with thresholding and blob analysis as a framework for automatic delineation of the kidney region.

Can DMD obtain a Scene Background in Color?

no code implementations22 Jul 2016 Santosh Tirunagari, Norman Poh, Miroslaw Bober, David Windridge

A background model describes a scene without any foreground objects and has a number of applications, ranging from video surveillance to computational photography.

Identifying Similar Patients Using Self-Organising Maps: A Case Study on Type-1 Diabetes Self-care Survey Responses

no code implementations21 Mar 2015 Santosh Tirunagari, Norman Poh, Guosheng Hu, David Windridge

Diabetes is considered a lifestyle disease and a well managed self-care plays an important role in the treatment.

On the Intrinsic Limits to Representationally-Adaptive Machine-Learning

no code implementations9 Mar 2015 David Windridge

Online learning is a familiar problem setting within Machine-Learning in which data is presented serially in time to a learning agent, requiring it to progressively adapt within the constraints of the learning algorithm.

BIG-bench Machine Learning Transfer Learning

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