University of York

research

∙ 02/02/2021

Guidance on the Assurance of Machine Learning in Autonomous Systems (AMLAS)

Machine Learning (ML) is now used in a range of systems with results tha...

Richard Hawkins, et al. ∙

research

∙ 10/03/2019

A Commentary on "Breaking Row and Column Symmetries in Matrix Models"

The CP 2002 paper entitled "Breaking Row and Column Symmetries in Matrix...

Alan M. Frisch, et al. ∙

research

∙ 02/15/2019

DeepFault: Fault Localization for Deep Neural Networks

Deep Neural Networks (DNNs) are increasingly deployed in safety-critical...

Hasan Ferit Eniser, et al. ∙

research

∙ 12/04/2019

Divided We Stand: A Novel Residual Group Attention Mechanism for Medical Image Segmentation

Given that convolutional neural networks extract features via learning c...

Chaitanya Kaul, et al. ∙

research

∙ 11/29/2018

InverseRenderNet: Learning single image inverse rendering

We show how to train a fully convolutional neural network to perform inv...

Ye Yu, et al. ∙

research

∙ 03/28/2019

Depth from a polarisation + RGB stereo pair

In this paper, we propose a hybrid depth imaging system in which a polar...

Dizhong Zhu, et al. ∙

research

∙ 06/08/2020

A Comparison of Self-Play Algorithms Under a Generalized Framework

Throughout scientific history, overarching theoretical frameworks have a...

Daniel Hernández, et al. ∙

research

∙ 08/18/2019

Robust DCD-Based Recursive Adaptive Algorithms

The dichotomous coordinate descent (DCD) algorithm has been successfully...

Y. Yu, et al. ∙

research

∙ 06/07/2022

Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior

Inverse rendering is an ill-posed problem. Previous work has sought to r...

James A. D. Gardner, et al. ∙

research

∙ 03/15/2021

Growing 3D Artefacts and Functional Machines with Neural Cellular Automata

Neural Cellular Automata (NCAs) have been proven effective in simulating...

Shyam Sudhakaran, et al. ∙

research

∙ 07/09/2021

Lifelong Mixture of Variational Autoencoders

In this paper, we propose an end-to-end lifelong learning mixture of exp...

Fei Ye, et al. ∙

research

∙ 04/20/2020

Study of Diffusion Normalized Least Mean M-estimate Algorithms

This work proposes diffusion normalized least mean M-estimate algorithm ...

Y. Yu, et al. ∙

research

∙ 07/09/2021

Lifelong Teacher-Student Network Learning

A unique cognitive capability of humans consists in their ability to acq...

Fei Ye, et al. ∙

research

∙ 11/17/2017

Win Prediction in Esports: Mixed-Rank Match Prediction in Multi-player Online Battle Arena Games

Esports has emerged as a popular genre for players as well as spectators...

Victoria Hodge, et al. ∙

research

∙ 08/25/2017

Linear Differential Constraints for Photo-polarimetric Height Estimation

In this paper we present a differential approach to photo-polarimetric s...

Silvia Tozza, et al. ∙

research

∙ 08/23/2017

3D Morphable Models as Spatial Transformer Networks

In this paper, we show how a 3D Morphable Model (i.e. a statistical mode...

Anil Bas, et al. ∙

research

∙ 08/22/2017

What does 2D geometric information really tell us about 3D face shape?

A face image contains geometric cues in the form of configurational info...

Anil Bas, et al. ∙

research

∙ 08/29/2011

Collective Adaptive Systems: Challenges Beyond Evolvability

This position paper overviews several challenges of collective adaptive ...

Serge Kernbach, et al. ∙

research

∙ 06/04/2016

Distance Metric Ensemble Learning and the Andrews-Curtis Conjecture

Motivated by the search for a counterexample to the Poincaré conjecture ...

Krzysztof Krawiec, et al. ∙

research

∙ 12/16/2005

"Going back to our roots": second generation biocomputing

Researchers in the field of biocomputing have, for many years, successfu...

Jon Timmis, et al. ∙

research

∙ 05/19/2015

What is Learning? A primary discussion about information and Representation

Nowadays, represented by Deep Learning techniques, the field of machine ...

Hao Wu, et al. ∙

research

∙ 06/03/2016

On Valid Optimal Assignment Kernels and Applications to Graph Classification

The success of kernel methods has initiated the design of novel positive...

Nils M. Kriege, et al. ∙

research

∙ 09/08/2016

Ear-to-ear Capture of Facial Intrinsics

We present a practical approach to capturing ear-to-ear face models comp...

Alassane Seck, et al. ∙

research

∙ 10/18/2012

Creating a level playing field for all symbols in a discretization

In time series analysis research there is a strong interest in discrete ...

Matthew Butler, et al. ∙

research

∙ 02/02/2016

Fitting a 3D Morphable Model to Edges: A Comparison Between Hard and Soft Correspondences

We propose a fully automatic method for fitting a 3D morphable model to ...

Anil Bas, et al. ∙

research

∙ 04/04/2014

Exact Estimation of Multiple Directed Acyclic Graphs

This paper considers the problem of estimating the structure of multiple...

Chris J. Oates, et al. ∙

research

∙ 05/22/2009

Multiset Ordering Constraints

We identify a new and important global (or non-binary) constraint. This ...

Alan M. Frisch, et al. ∙

research

∙ 05/22/2009

Scenario-based Stochastic Constraint Programming

To model combinatorial decision problems involving uncertainty and proba...

Suresh Manandhar, et al. ∙

research

∙ 12/21/2017

Effective Optimization Criteria and Relay Selection Algorithms for Physical-Layer Security in Multiple-Antenna Relay Networks

Physical-layer security for wireless networks has become an effective ap...

X. Lu, et al. ∙

research

∙ 05/28/2017

Study of Joint MMSE Consensus and Relay Selection Algorithms for Distributed Beamforming

This work presents joint minimum mean-square error (MMSE) consensus algo...

H. Ruan, et al. ∙

research

∙ 02/23/2017

Steganalysis of 3D Objects Using Statistics of Local Feature Sets

3D steganalysis aims to identify subtle invisible changes produced in gr...

Zhenyu Li, et al. ∙

research

∙ 12/01/2017

Study of Robust Distributed Beamforming Based on Cross-Correlation and Subspace Projection Techniques

In this work, we present a novel robust distributed beamforming (RDB) ap...

H. Ruan, et al. ∙

research

∙ 12/29/2017

Unifying Theories of Timed with Generalised Reactive Processes

Hoare and He's theory of reactive processes provides a unifying foundati...

Simon Foster, et al. ∙

research

∙ 01/30/2018

Cell-Free Massive MIMO with Limited Backhaul

We consider a cell-free Massive multiple-input multiple-output (MIMO) sy...

Manijeh Bashar, et al. ∙

research

∙ 01/30/2018

Enhanced Max-Min SINR for Uplink Cell-Free Massive MIMO Systems

In this paper, we consider the max-min signal-to-interference plus noise...

Manijeh Bashar, et al. ∙

research

∙ 02/14/2018

Analysing and Patching SPEKE in ISO/IEC

Simple Password Exponential Key Exchange (SPEKE) is a well-known Passwor...

Feng Hao, et al. ∙

research

∙ 02/15/2018

Study of Knowledge-Aided Iterative Detection and Decoding for Multiuser MIMO Systems

In this work, we consider the problem of reduced latency of low-density ...

P. Li, et al. ∙

research

∙ 02/16/2018

A Centrality Measure for Cycles and Subgraphs II

In a recent work we introduced a measure of importance for groups of ver...

P-L. Giscard, et al. ∙

research

∙ 02/18/2018

Music Genre Classification using Masked Conditional Neural Networks

The ConditionaL Neural Networks (CLNN) and the Masked ConditionaL Neural...

Fady Medhat, et al. ∙

research

∙ 12/29/2017

Unifying Theories of Time with Generalised Reactive Processes

Hoare and He's theory of reactive processes provides a unifying foundati...

Simon Foster, et al. ∙

research

∙ 03/06/2018

Masked Conditional Neural Networks for Audio Classification

We present the ConditionaL Neural Network (CLNN) and the Masked Conditio...

Fady Medhat, et al. ∙

research

∙ 03/09/2018

On The Uplink Throughput of Zero-Forcing in Cell-Free Massive MIMO with Coarse Quantization

The recently proposed Cell-Free massive MIMO architecture is studied for...

Dick Maryopi, et al. ∙

research

∙ 03/21/2018

Non-rigid 3D Shape Registration using an Adaptive Template

We present a new fully-automatic non-rigid 3D shape registration (morphi...

Hang Dai, et al. ∙

research

∙ 04/07/2018

Statistical transformer networks: learning shape and appearance models via self supervision

We generalise Spatial Transformer Networks (STN) by replacing the parame...

Anil Bas, et al. ∙

research

∙ 05/02/2018

An Evaluation of Classification and Outlier Detection Algorithms

This paper evaluates algorithms for classification and outlier detection...

Victoria J. Hodge, et al. ∙

research

∙ 05/27/2018

Study of Unique-Word Based GFDM Transmission Systems

In this paper, we propose the use of a deterministic sequence, known as ...

J. Dias, et al. ∙

research

∙ 06/06/2018

Calculational Verification of Reactive Programs with Reactive Relations and Kleene Algebra

Reactive programs are ubiquitous in modern applications, and thus verifi...

Simon Foster, et al. ∙

research

∙ 06/12/2018

On the t-adic Littlewood Conjecture

The p-adic Littlewood Conjecture due to De Mathan and Teulié asserts tha...

Faustin Adiceam, et al. ∙

research

∙ 06/14/2018

Evolving simple programs for playing Atari games

Cartesian Genetic Programming (CGP) has previously shown capabilities in...

Dennis G Wilson, et al. ∙

research

∙ 07/04/2018

A New Look at the Refund Mechanism in the Bitcoin Payment Protocol

BIP70 is the Bitcoin payment protocol for communication between a mercha...

Sepideh Avizheh, et al. ∙

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