
MultiModal Domain Adaptation for FineGrained Action Recognition
Finegrained action recognition datasets exhibit environmental bias, whe...
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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...
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FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency
Machine learning algorithms can take important decisions, sometimes lega...
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RetroActions: Learning 'Close' by TimeReversing 'Open' Videos
We investigate video transforms that result in classhomogeneous labelt...
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FACE: Feasible and Actionable Counterfactual Explanations
Work in Counterfactual Explanations tends to focus on the principle of "...
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HyperStream: a Workflow Engine for Streaming Data
This paper describes HyperStream, a largescale, flexible and robust sof...
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Registrationfree FaceSSD: Single shot analysis of smiles, facial attributes, and affect in the wild
In this paper, we present a novel single shot facerelated task analysis...
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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...
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Right for the Right Reason: Training Agnostic Networks
We consider the problem of a neural network being requested to classify ...
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NonParametric Calibration of Probabilistic Regression
The task of calibration is to retrospectively adjust the outputs from a ...
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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...
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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...
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Bayesian nonparametric shared multisequence time series segmentation
In this paper, we introduce a method for segmenting time series data usi...
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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...
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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...
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Reliability of Broadcast Communications Under Sparse Random Linear Network Coding
Ultrareliable PointtoMultipoint (PtM) communications are expected to ...
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Neural Translation of Musical Style
Music is an expressive form of communication often used to convey emotio...
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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...
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Asymptotic Bias of Stochastic Gradient Search
The asymptotic behavior of the stochastic gradient algorithm with a bias...
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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 ...
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Latent Gaussian Process Regression
We introduce Latent Gaussian Process Regression which is a latent variab...
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A Model of MultiAgent Consensus for Vague and Uncertain Beliefs
Consensus formation is investigated for multiagent systems in which age...
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Trimmed Density Ratio Estimation
Density ratio estimation is a vital tool in both machine learning and st...
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Modelbased Test Generation for Robotic Software: Automata versus BeliefDesireIntention Agents
Robotic code needs to be verified to ensure its safety and functional co...
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Exploiting Vagueness for MultiAgent Consensus
A framework for consensus modelling is introduced using Kleene's three v...
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Probabilistic Sensor Fusion for Ambient Assisted Living
There is a widelyaccepted need to revise current forms of healthcare p...
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A KdVlike advectiondispersion equation with some remarkable properties
We discuss a new nonlinear PDE, u_t + (2 u_xx/u) u_x = epsilon u_xxx, i...
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Manifold Alignment Determination: finding correspondences across different data views
We present Manifold Alignment Determination (MAD), an algorithm for lear...
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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...
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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...
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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...
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A Label Semantics Approach to Linguistic Hedges
We introduce a model for the linguistic hedges `very' and `quite' within...
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Concept Generation in Language Evolution
This thesis investigates the generation of new concepts from combination...
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Towards CNN Map Compression for camera relocalisation
This paper presents a study on the use of Convolutional Neural Networks ...
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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...
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Detecting People in Artwork with CNNs
CNNs have massively improved performance in object detection in photogra...
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On the Geometric Ergodicity of Hamiltonian Monte Carlo
We establish general conditions under which Markov chains produced by th...
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Automated Visual Fin Identification of Individual Great White Sharks
This paper discusses the automated visual identification of individual g...
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Visual place recognition using landmark distribution descriptors
Recent work by Suenderhauf et al. [1] demonstrated improved visual place...
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Multiple Human Tracking in RGBD Data: A Survey
Multiple human tracking (MHT) is a fundamental task in many computer vis...
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InterBattery Topic Representation Learning
In this paper, we present the InterBattery Topic Model (IBTM). Our appr...
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Bayesian tracking and parameter learning for nonlinear multiple target tracking models
We propose a new Bayesian tracking and parameter learning algorithm for ...
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Costbased Feature Transfer for Vehicle Occupant Classification
Knowledge of human presence and interaction in a vehicle is of growing i...
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Threshold Choice Methods: the Missing Link
Many performance metrics have been introduced for the evaluation of clas...
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Technical Note: Towards ROC Curves in Cost Space
ROC curves and cost curves are two popular ways of visualising classifie...
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Identifying the consequences of dynamic treatment strategies: A decisiontheoretic overview
We consider the problem of learning about and comparing the consequences...
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Sparse Approximate Inference for SpatioTemporal Point Process Models
Spatiotemporal point process models play a central role in the analysis...
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Bayesian learning of noisy Markov decision processes
We consider the inverse reinforcement learning problem, that is, the pro...
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Adaptive Forgetting Factor Fictitious Play
It is now well known that decentralised optimisation can be formulated a...
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Asynchronous Stochastic Approximation with Differential Inclusions
The asymptotic pseudotrajectory approach to stochastic approximation of...
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