The University of Nottingham

∙ Nottingham , United Kingdom ∙ 0 followers

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 research-led 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.

Triple consistency loss for pairing distributions in GAN-based face synthesis

Generative Adversarial Networks have shown impressive results for the ta...
11/08/2018 ∙ by Enrique Sanchez, et al. ∙ 12 ∙ share

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AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces

Being heavily reliant on animals, it is our ethical obligation to improv...
09/11/2019 ∙ by Muhammad Haris Khan, et al. ∙ 7 ∙ share

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Zero-shot keyword spotting for visual speech recognition in-the-wild

Visual keyword spotting (KWS) is the problem of estimating whether a tex...
07/23/2018 ∙ by Themos Stafylakis, et al. ∙ 2 ∙ share

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OCT segmentation: Integrating open parametric contour model of the retinal layers and shape constraint to the Mumford-Shah functional

In this paper, we propose a novel retinal layer boundary model for segme...
08/08/2018 ∙ by Jinming Duan, et al. ∙ 2 ∙ share

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3D Human Body Reconstruction from a Single Image via Volumetric Regression

This paper proposes the use of an end-to-end Convolutional Neural Networ...
09/11/2018 ∙ by Aaron S. Jackson, et al. ∙ 2 ∙ share

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Populations can be essential in tracking dynamic optima

Real-world optimisation problems are often dynamic. Previously good solu...
07/12/2016 ∙ by Duc-Cuong Dang, et al. ∙ 0 ∙ share

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Self-adaptation of Mutation Rates in Non-elitist Populations

The runtime of evolutionary algorithms (EAs) depends critically on their...
06/17/2016 ∙ by Duc-Cuong Dang, et al. ∙ 0 ∙ share

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Augmented Neural Networks for Modelling Consumer Indebtness

Consumer Debt has risen to be an important problem of modern societies, ...
09/03/2014 ∙ by Alexandros Ladas, et al. ∙ 0 ∙ share

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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...
07/01/2017 ∙ by Xianxu Hou, et al. ∙ 0 ∙ share

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A Parameterized Complexity Analysis of Bi-level Optimisation with Evolutionary Algorithms

Bi-level optimisation problems have gained increasing interest in the fi...
01/09/2014 ∙ by Dogan Corus, et al. ∙ 0 ∙ share

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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...
03/02/2017 ∙ by Adrian Bulat, et al. ∙ 0 ∙ share

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Exploring Differences in Interpretation of Words Essential in Medical Expert-Patient Communication

In the context of cancer treatment and surgery, quality of life assessme...
07/21/2016 ∙ by Javier Navarro, et al. ∙ 0 ∙ share

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Applying Interval Type-2 Fuzzy Rule Based Classifiers Through a Cluster-Based Class Representation

Fuzzy Rule-Based Classification Systems (FRBCSs) have the potential to p...
07/21/2016 ∙ by Javier Navarro, et al. ∙ 0 ∙ share

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Juxtaposition of System Dynamics and Agent-based Simulation for a Case Study in Immunosenescence

Advances in healthcare and in the quality of life significantly increase...
07/20/2016 ∙ by Grazziela P. Figueredo, et al. ∙ 0 ∙ share

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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...
07/20/2016 ∙ by Jenna Reps, et al. ∙ 0 ∙ share

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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...
03/22/2017 ∙ by Aaron S. Jackson, et al. ∙ 0 ∙ share

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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...
03/21/2017 ∙ by Adrian Bulat, et al. ∙ 0 ∙ share

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Combining Residual Networks with LSTMs for Lipreading

We propose an end-to-end deep learning architecture for word-level visua...
03/12/2017 ∙ by Themos Stafylakis, et al. ∙ 0 ∙ share

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Random Forest for Label Ranking

Label ranking aims to learn a mapping from instances to rankings over a ...
08/27/2016 ∙ by Yangming Zhou, et al. ∙ 0 ∙ share

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Fusing Deep Learned and Hand-Crafted Features of Appearance, Shape, and Dynamics for Automatic Pain Estimation

Automatic continuous time, continuous value assessment of a patient's pa...
01/17/2017 ∙ by Joy Egede, et al. ∙ 0 ∙ share

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A Fuzzy Directional Distance Measure

The measure of distance between two fuzzy sets is a fundamental tool wit...
09/03/2014 ∙ by Josie C. McCullochy, et al. ∙ 0 ∙ share

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Two-stage 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 ...
09/29/2016 ∙ by Adrian Bulat, et al. ∙ 0 ∙ share

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Human pose estimation via Convolutional Part Heatmap Regression

This paper is on human pose estimation using Convolutional Neural Networ...
09/06/2016 ∙ by Adrian Bulat, et al. ∙ 0 ∙ share

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Exploring Programmable Self-Assembly in Non-DNA based Molecular Computing

Self-assembly is a phenomenon observed in nature at all scales where aut...
09/25/2013 ∙ by German Terrazas, et al. ∙ 0 ∙ share

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Measuring the Directional Distance Between Fuzzy Sets

The measure of distance between two fuzzy sets is a fundamental tool wit...
08/23/2013 ∙ by Josie McCulloch, et al. ∙ 0 ∙ share

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Extending Similarity Measures of Interval Type-2 Fuzzy Sets to General Type-2 Fuzzy Sets

Similarity measures provide one of the core tools that enable reasoning ...
08/23/2013 ∙ by Josie McCulloch, et al. ∙ 0 ∙ share

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Cascaded Continuous Regression for Real-time Incremental Face Tracking

This paper introduces a novel real-time algorithm for facial landmark tr...
08/03/2016 ∙ by Enrique Sánchez-Lozano, et al. ∙ 0 ∙ share

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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...
02/27/2016 ∙ by Luca Calatroni, et al. ∙ 0 ∙ share

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Ensemble-marginalized Kalman filter for linear time-dependent PDEs with noisy boundary conditions: Application to heat transfer in building walls

In this work, we present the ensemble-marginalized Kalman filter (EnMKF)...
11/26/2017 ∙ by Marco Iglesias, et al. ∙ 0 ∙ share

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Bayes factors for partially observed stochastic epidemic models

We consider the problem of model choice for stochastic epidemic models g...
10/13/2017 ∙ by Muteb Alharthi, et al. ∙ 0 ∙ share

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The extended power distribution: A new distribution on (0, 1)

We propose a two-parameter bounded probability distribution called the e...
11/08/2017 ∙ by Chibueze E. Ogbonnaya, et al. ∙ 0 ∙ share

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Two-Stage Stochastic International Portfolio Optimisation under Regular-Vine-Copula-Based Scenarios

In this paper, we present a two-stage stochastic international portfolio...
04/04/2017 ∙ by Nonthachote Chatsanga, et al. ∙ 0 ∙ share

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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...
01/15/2018 ∙ by Kwang-Rae Kim, et al. ∙ 0 ∙ share

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End-to-end Audiovisual Speech Recognition

Several end-to-end deep learning approaches have been recently presented...
02/18/2018 ∙ by Stavros Petridis, et al. ∙ 0 ∙ share

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An Analysis of Home IoT Network Traffic and Behaviour

Internet-connected devices are increasingly present in our homes, and pr...
03/14/2018 ∙ by Yousef Amar, et al. ∙ 0 ∙ share

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Automatic symbolic computation for discontinuous Galerkin finite element methods

The implementation of discontinuous Galerkin finite element methods (DGF...
04/06/2018 ∙ by Paul Houston, et al. ∙ 0 ∙ share

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Noise Invariant Frame Selection: A Simple Method to Address the Background Noise Problem for Text-independent Speaker Verification

The performance of speaker-related systems usually degrades heavily in p...
05/03/2018 ∙ by Siyang Song, et al. ∙ 0 ∙ share

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Addendum to "HTN Acting: A Formalism and an Algorithm"

Hierarchical Task Network (HTN) planning is a practical and efficient ap...
06/06/2018 ∙ by Lavindra de Silva, et al. ∙ 0 ∙ share

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On Bayesian inferential tasks with infinite-state jump processes: efficient data augmentation

Advances in sampling schemes for Markov jump processes have recently ena...
06/06/2018 ∙ by Iker Perez, et al. ∙ 0 ∙ share

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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 ...
07/23/2018 ∙ by Iker Perez, et al. ∙ 0 ∙ share

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Coalition and Group Announcement Logic

Dynamic epistemic logics which model abilities of agents to make various...
10/03/2018 ∙ by Rustam Galimullin, et al. ∙ 0 ∙ share

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Effective Parallelisation for Machine Learning

We present a novel parallelisation scheme that simplifies the adaptation...
10/08/2018 ∙ by Michael Kamp, et al. ∙ 0 ∙ share

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Entity-Relationship Search over the Web

Entity-Relationship (E-R) Search is a complex case of Entity Search wher...
10/08/2018 ∙ by Pedro Saleiro, et al. ∙ 0 ∙ share

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Social Media Brand Engagement as a Proxy for E-commerce Activities: A Case Study of Sina Weibo and JD

E-commerce platforms facilitate sales of products while product vendors ...
10/13/2018 ∙ by Weiqiang Lin, et al. ∙ 0 ∙ share

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On Filter Size in Graph Convolutional Networks

Recently, many researchers have been focusing on the definition of neura...
11/23/2018 ∙ by Dinh Van Tran, et al. ∙ 0 ∙ share

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Designing quantum experiments with a genetic algorithm

We introduce a genetic algorithm that designs quantum optics experiments...
12/03/2018 ∙ by Rosanna Nichols, et al. ∙ 0 ∙ share

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Learning to Infer the Depth Map of a Hand from its Color Image

We propose the first approach to the problem of inferring the depth map ...
12/06/2018 ∙ by Vassilis C. Nicodemou, et al. ∙ 0 ∙ share

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A hybrid machine-learning algorithm for designing quantum experiments

We introduce a hybrid machine-learning algorithm for designing quantum o...
12/07/2018 ∙ by L. O'Driscoll, et al. ∙ 0 ∙ share

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Features Extraction Based on an Origami Representation of 3D Landmarks

Feature extraction analysis has been widely investigated during the last...
12/12/2018 ∙ by Juan Manuel Fernández Montenegro, et al. ∙ 0 ∙ share

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Gaussian asymptotic limits for the α-transformation in the analysis of compositional data

Compositional data consists of vectors of proportions whose components s...
11/29/2018 ∙ by Yannis Pantazis, et al. ∙ 0 ∙ share

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