
Knowledge distillation via adaptive instance normalization
This paper addresses the problem of model compression via knowledge dist...
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Triple consistency loss for pairing distributions in GANbased face synthesis
Generative Adversarial Networks have shown impressive results for the ta...
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A Transfer Learning approach to Heatmap Regression for Action Unit intensity estimation
Action Units (AUs) are geometricallybased atomic facial muscle movement...
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A Novel Meta Learning Framework for Feature Selection using Data Synthesis and Fuzzy Similarity
This paper presents a novel meta learning framework for feature selectio...
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A Novel Weighted Combination Method for Feature Selection using Fuzzy Sets
In this paper, we propose a novel weighted combination feature selection...
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AnimalWeb: A LargeScale Hierarchical Dataset of Annotated Animal Faces
Being heavily reliant on animals, it is our ethical obligation to improv...
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Performance Optimization of a Fuzzy Entropy based Feature Selection and Classification Framework
In this paper, based on a fuzzy entropy feature selection framework, dif...
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Fuzzy kNearest Neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise
This paper proposes a new model based on Fuzzy kNearest Neighbors for c...
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Zeroshot keyword spotting for visual speech recognition inthewild
Visual keyword spotting (KWS) is the problem of estimating whether a tex...
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OCT segmentation: Integrating open parametric contour model of the retinal layers and shape constraint to the MumfordShah functional
In this paper, we propose a novel retinal layer boundary model for segme...
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3D Human Body Reconstruction from a Single Image via Volumetric Regression
This paper proposes the use of an endtoend Convolutional Neural Networ...
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Populations can be essential in tracking dynamic optima
Realworld optimisation problems are often dynamic. Previously good solu...
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Selfadaptation of Mutation Rates in Nonelitist Populations
The runtime of evolutionary algorithms (EAs) depends critically on their...
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Augmented Neural Networks for Modelling Consumer Indebtness
Consumer Debt has risen to be an important problem of modern societies, ...
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Image Companding and Inverse Halftoning using Deep Convolutional Neural Networks
In this paper, we introduce deep learning technology to tackle two tradi...
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A Parameterized Complexity Analysis of Bilevel Optimisation with Evolutionary Algorithms
Bilevel optimisation problems have gained increasing interest in the fi...
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Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources
Our goal is to design architectures that retain the groundbreaking perfo...
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Exploring Differences in Interpretation of Words Essential in Medical ExpertPatient Communication
In the context of cancer treatment and surgery, quality of life assessme...
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Applying Interval Type2 Fuzzy Rule Based Classifiers Through a ClusterBased Class Representation
Fuzzy RuleBased Classification Systems (FRBCSs) have the potential to p...
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Juxtaposition of System Dynamics and Agentbased Simulation for a Case Study in Immunosenescence
Advances in healthcare and in the quality of life significantly increase...
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Identifying Candidate Risk Factors for Prescription Drug Side Effects using Causal Contrast Set Mining
Big longitudinal observational databases present the opportunity to extr...
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Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression
3D face reconstruction is a fundamental Computer Vision problem of extra...
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How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)
This paper investigates how far a very deep neural network is from attai...
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Combining Residual Networks with LSTMs for Lipreading
We propose an endtoend deep learning architecture for wordlevel visua...
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Random Forest for Label Ranking
Label ranking aims to learn a mapping from instances to rankings over a ...
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Fusing Deep Learned and HandCrafted Features of Appearance, Shape, and Dynamics for Automatic Pain Estimation
Automatic continuous time, continuous value assessment of a patient's pa...
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A Fuzzy Directional Distance Measure
The measure of distance between two fuzzy sets is a fundamental tool wit...
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Twostage Convolutional Part Heatmap Regression for the 1st 3D Face Alignment in the Wild (3DFAW) Challenge
This paper describes our submission to the 1st 3D Face Alignment in the ...
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Human pose estimation via Convolutional Part Heatmap Regression
This paper is on human pose estimation using Convolutional Neural Networ...
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Exploring Programmable SelfAssembly in NonDNA based Molecular Computing
Selfassembly is a phenomenon observed in nature at all scales where aut...
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Measuring the Directional Distance Between Fuzzy Sets
The measure of distance between two fuzzy sets is a fundamental tool wit...
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Extending Similarity Measures of Interval Type2 Fuzzy Sets to General Type2 Fuzzy Sets
Similarity measures provide one of the core tools that enable reasoning ...
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Cascaded Continuous Regression for Realtime Incremental Face Tracking
This paper introduces a novel realtime algorithm for facial landmark tr...
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Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images
We consider the problem of scale detection in images where a region of i...
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Ensemblemarginalized Kalman filter for linear timedependent PDEs with noisy boundary conditions: Application to heat transfer in building walls
In this work, we present the ensemblemarginalized Kalman filter (EnMKF)...
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Bayes factors for partially observed stochastic epidemic models
We consider the problem of model choice for stochastic epidemic models g...
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The extended power distribution: A new distribution on (0, 1)
We propose a twoparameter bounded probability distribution called the e...
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TwoStage Stochastic International Portfolio Optimisation under RegularVineCopulaBased Scenarios
In this paper, we present a twostage stochastic international portfolio...
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Smoothing splines on Riemannian manifolds, with applications to 3D shape space
There has been increasing interest in statistical analysis of data lying...
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Endtoend Audiovisual Speech Recognition
Several endtoend deep learning approaches have been recently presented...
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An Analysis of Home IoT Network Traffic and Behaviour
Internetconnected devices are increasingly present in our homes, and pr...
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Automatic symbolic computation for discontinuous Galerkin finite element methods
The implementation of discontinuous Galerkin finite element methods (DGF...
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Noise Invariant Frame Selection: A Simple Method to Address the Background Noise Problem for Textindependent Speaker Verification
The performance of speakerrelated systems usually degrades heavily in p...
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Addendum to "HTN Acting: A Formalism and an Algorithm"
Hierarchical Task Network (HTN) planning is a practical and efficient ap...
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On Bayesian inferential tasks with infinitestate jump processes: efficient data augmentation
Advances in sampling schemes for Markov jump processes have recently ena...
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Approximate Bayesian inference with queueing networks and coupled jump processes
Queueing networks are systems of theoretical interest that give rise to ...
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Coalition and Group Announcement Logic
Dynamic epistemic logics which model abilities of agents to make various...
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Effective Parallelisation for Machine Learning
We present a novel parallelisation scheme that simplifies the adaptation...
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EntityRelationship Search over the Web
EntityRelationship (ER) Search is a complex case of Entity Search wher...
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Social Media Brand Engagement as a Proxy for Ecommerce Activities: A Case Study of Sina Weibo and JD
Ecommerce platforms facilitate sales of products while product vendors ...
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The University of Nottingham shares many of the characteristics of the world's great universities. However, they are distinct not only in their key strengths but in how their many strengths combine: they are financially secure, campus based and comprehensive; they are researchled and recruit top students and staff from around the world; they are committed to internationalising all their core activities so their students can have a valuable and enjoyable experience that prepares them well for the rest of their intellectual, professional and personal lives.