University of Bristol

∙ BRISTOL , United Kingdom ∙ 0 followers

Official university site with information on undergraduate and postgraduate courses, research, teaching, study and departments. Located in Bristol, in the South West of England.

Multi-Modal Domain Adaptation for Fine-Grained Action Recognition

Fine-grained action recognition datasets exhibit environmental bias, whe...
01/27/2020 ∙ by Jonathan Munro, et al. ∙ 69 ∙ share

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One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency

The need for transparency of predictive systems based on Machine Learnin...
01/27/2020 ∙ by Kacper Sokol, et al. ∙ 46 ∙ share

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FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency

Machine learning algorithms can take important decisions, sometimes lega...
09/11/2019 ∙ by Kacper Sokol, et al. ∙ 32 ∙ share

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Retro-Actions: Learning 'Close' by Time-Reversing 'Open' Videos

We investigate video transforms that result in class-homogeneous label-t...
09/20/2019 ∙ by Will Price, et al. ∙ 15 ∙ share

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FACE: Feasible and Actionable Counterfactual Explanations

Work in Counterfactual Explanations tends to focus on the principle of "...
09/20/2019 ∙ by Rafael Poyiadzi, et al. ∙ 14 ∙ share

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HyperStream: a Workflow Engine for Streaming Data

This paper describes HyperStream, a large-scale, flexible and robust sof...
08/07/2019 ∙ by Tom Diethe, et al. ∙ 9 ∙ share

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Registration-free Face-SSD: Single shot analysis of smiles, facial attributes, and affect in the wild

In this paper, we present a novel single shot face-related task analysis...
02/11/2019 ∙ by Youngkyoon Jang, et al. ∙ 8 ∙ share

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N2D:(Not Too) Deep clustering via clustering the local manifold of an autoencoded embedding

Deep clustering has increasingly been demonstrating superiority over con...
08/16/2019 ∙ by Ryan McConville, et al. ∙ 7 ∙ share

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Right for the Right Reason: Training Agnostic Networks

We consider the problem of a neural network being requested to classify ...
06/16/2018 ∙ by Sen Jia, et al. ∙ 6 ∙ share

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Non-Parametric Calibration of Probabilistic Regression

The task of calibration is to retrospectively adjust the outputs from a ...
06/20/2018 ∙ by Hao Song, et al. ∙ 6 ∙ share

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Road surface 3d reconstruction based on dense subpixel disparity map estimation

Various 3D reconstruction methods have enabled civil engineers to detect...
07/05/2018 ∙ by Rui Fan, et al. ∙ 4 ∙ share

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Enforcing Perceptual Consistency on Generative Adversarial Networks by Using the Normalised Laplacian Pyramid Distance

In recent years there has been a growing interest in image generation th...
08/09/2019 ∙ by Alexander Hepburn, et al. ∙ 3 ∙ share

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Bayesian nonparametric shared multi-sequence time series segmentation

In this paper, we introduce a method for segmenting time series data usi...
01/27/2020 ∙ by Olga Mikheeva, et al. ∙ 3 ∙ share

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CaloriNet: From silhouettes to calorie estimation in private environments

We propose a novel deep fusion architecture, CaloriNet, for the online e...
06/21/2018 ∙ by Alessandro Masullo, et al. ∙ 2 ∙ share

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BVI-DVC: A Training Database for Deep Video Compression

Deep learning methods are increasingly being applied in the optimisation...
03/30/2020 ∙ by Di Ma, et al. ∙ 2 ∙ share

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Deep Learning Framework for Detecting Ground Deformation in the Built Environment using Satellite InSAR data

The large volumes of Sentinel-1 data produced over Europe are being used...
05/07/2020 ∙ by Nantheera Anantrasirichai, et al. ∙ 2 ∙ share

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LIMEtree: Interactively Customisable Explanations Based on Local Surrogate Multi-output Regression Trees

Systems based on artificial intelligence and machine learning models sho...
05/04/2020 ∙ by Kacper Sokol, et al. ∙ 2 ∙ share

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Beyond No Free Lunch: Realistic Algorithms for Arbitrary Problem Classes

We show how the necessary and sufficient conditions for the NFL to apply...
07/09/2009 ∙ by James A. R. Marshall, et al. ∙ 0 ∙ share

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Reliability of Broadcast Communications Under Sparse Random Linear Network Coding

Ultra-reliable Point-to-Multipoint (PtM) communications are expected to ...
05/26/2017 ∙ by Suzie Brown, et al. ∙ 0 ∙ share

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Neural Translation of Musical Style

Music is an expressive form of communication often used to convey emotio...
08/11/2017 ∙ by Iman Malik, et al. ∙ 0 ∙ share

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Detecting the Moment of Completion: Temporal Models for Localising Action Completion

Action completion detection is the problem of modelling the action's pro...
10/06/2017 ∙ by Farnoosh Heidarivincheh, et al. ∙ 0 ∙ share

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Asymptotic Bias of Stochastic Gradient Search

The asymptotic behavior of the stochastic gradient algorithm with a bias...
08/30/2017 ∙ by Vladislav B. Tadic, et al. ∙ 0 ∙ share

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Towards CNN map representation and compression for camera relocalisation

This paper presents a study on the use of Convolutional Neural Networks ...
09/15/2017 ∙ by Luis Contreras, et al. ∙ 0 ∙ share

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Latent Gaussian Process Regression

We introduce Latent Gaussian Process Regression which is a latent variab...
07/18/2017 ∙ by Erik Bodin, et al. ∙ 0 ∙ share

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A Model of Multi-Agent Consensus for Vague and Uncertain Beliefs

Consensus formation is investigated for multi-agent systems in which age...
12/11/2016 ∙ by Michael Crosscombe, et al. ∙ 0 ∙ share

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Trimmed Density Ratio Estimation

Density ratio estimation is a vital tool in both machine learning and st...
03/09/2017 ∙ by Song Liu, et al. ∙ 0 ∙ share

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Model-based Test Generation for Robotic Software: Automata versus Belief-Desire-Intention Agents

Robotic code needs to be verified to ensure its safety and functional co...
09/16/2016 ∙ by Dejanira Araiza-Illan, et al. ∙ 0 ∙ share

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Exploiting Vagueness for Multi-Agent Consensus

A framework for consensus modelling is introduced using Kleene's three v...
07/19/2016 ∙ by Michael Crosscombe, et al. ∙ 0 ∙ share

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Probabilistic Sensor Fusion for Ambient Assisted Living

There is a widely-accepted need to revise current forms of health-care p...
02/04/2017 ∙ by Tom Diethe, et al. ∙ 0 ∙ share

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A KdV-like advection-dispersion equation with some remarkable properties

We discuss a new non-linear PDE, u_t + (2 u_xx/u) u_x = epsilon u_xxx, i...
09/17/2011 ∙ by Abhijit Sen, et al. ∙ 0 ∙ share

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Manifold Alignment Determination: finding correspondences across different data views

We present Manifold Alignment Determination (MAD), an algorithm for lear...
01/12/2017 ∙ by Andreas Damianou, et al. ∙ 0 ∙ share

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Geometric Affordances from a Single Example via the Interaction Tensor

This paper develops and evaluates a new tensor field representation to e...
03/30/2017 ∙ by Eduardo Ruiz, et al. ∙ 0 ∙ share

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Emerging Dimension Weights in a Conceptual Spaces Model of Concept Combination

We investigate the generation of new concepts from combinations of prope...
01/25/2016 ∙ by Martha Lewis, et al. ∙ 0 ∙ share

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The Utility of Hedged Assertions in the Emergence of Shared Categorical Labels

We investigate the emergence of shared concepts in a community of langua...
01/25/2016 ∙ by Martha Lewis, et al. ∙ 0 ∙ share

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A Label Semantics Approach to Linguistic Hedges

We introduce a model for the linguistic hedges `very' and `quite' within...
01/25/2016 ∙ by Martha Lewis, et al. ∙ 0 ∙ share

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Concept Generation in Language Evolution

This thesis investigates the generation of new concepts from combination...
01/25/2016 ∙ by Martha Lewis, et al. ∙ 0 ∙ share

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Towards CNN Map Compression for camera relocalisation

This paper presents a study on the use of Convolutional Neural Networks ...
03/02/2017 ∙ by Luis Contreras, et al. ∙ 0 ∙ share

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Unsupervised Learning with Imbalanced Data via Structure Consolidation Latent Variable Model

Unsupervised learning on imbalanced data is challenging because, when gi...
06/30/2016 ∙ by Fariba Yousefi, et al. ∙ 0 ∙ share

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Detecting People in Artwork with CNNs

CNNs have massively improved performance in object detection in photogra...
10/27/2016 ∙ by Nicholas Westlake, et al. ∙ 0 ∙ share

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On the Geometric Ergodicity of Hamiltonian Monte Carlo

We establish general conditions under which Markov chains produced by th...
01/29/2016 ∙ by Samuel Livingstone, et al. ∙ 0 ∙ share

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Automated Visual Fin Identification of Individual Great White Sharks

This paper discusses the automated visual identification of individual g...
09/20/2016 ∙ by Benjamin Hughes, et al. ∙ 0 ∙ share

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Visual place recognition using landmark distribution descriptors

Recent work by Suenderhauf et al. [1] demonstrated improved visual place...
08/15/2016 ∙ by Pilailuck Panphattarasap, et al. ∙ 0 ∙ share

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Multiple Human Tracking in RGB-D Data: A Survey

Multiple human tracking (MHT) is a fundamental task in many computer vis...
06/14/2016 ∙ by Massimo Camplani, et al. ∙ 0 ∙ share

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Inter-Battery Topic Representation Learning

In this paper, we present the Inter-Battery Topic Model (IBTM). Our appr...
05/19/2016 ∙ by Cheng Zhang, et al. ∙ 0 ∙ share

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Bayesian tracking and parameter learning for non-linear multiple target tracking models

We propose a new Bayesian tracking and parameter learning algorithm for ...
10/08/2014 ∙ by Lan Jiang, et al. ∙ 0 ∙ share

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Cost-based Feature Transfer for Vehicle Occupant Classification

Knowledge of human presence and interaction in a vehicle is of growing i...
12/22/2015 ∙ by Toby Perrett, et al. ∙ 0 ∙ share

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Threshold Choice Methods: the Missing Link

Many performance metrics have been introduced for the evaluation of clas...
12/12/2011 ∙ by Jose Hernandez-Orallo, et al. ∙ 0 ∙ share

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Technical Note: Towards ROC Curves in Cost Space

ROC curves and cost curves are two popular ways of visualising classifie...
07/29/2011 ∙ by Jose Hernandez-Orallo, et al. ∙ 0 ∙ share

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Identifying the consequences of dynamic treatment strategies: A decision-theoretic overview

We consider the problem of learning about and comparing the consequences...
10/17/2010 ∙ by A. Philip Dawid, et al. ∙ 0 ∙ share

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Sparse Approximate Inference for Spatio-Temporal Point Process Models

Spatio-temporal point process models play a central role in the analysis...
05/17/2013 ∙ by Botond Cseke, et al. ∙ 0 ∙ share

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