University of Birmingham

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The University of Birmingham is a public research university located in Edgbaston, Birmingham, United Kingdom.

Margin Maximization as Lossless Maximal Compression

The ultimate goal of a supervised learning algorithm is to produce model...
01/28/2020 ∙ by Nikolaos Nikolaou, et al. ∙ 23 ∙ share

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Non-monotonic Logical Reasoning Guiding Deep Learning for Explainable Visual Question Answering

State of the art algorithms for many pattern recognition problems rely o...
09/23/2019 ∙ by Heather Riley, et al. ∙ 16 ∙ share

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Assessing Capsule Networks With Biased Data

Machine learning based methods achieves impressive results in object cla...
04/09/2019 ∙ by Bruno Ferrarini, et al. ∙ 14 ∙ share

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Geometry Constrained Weakly Supervised Object Localization

We propose a geometry constrained network, termed GC-Net, for weakly sup...
07/19/2020 ∙ by Weizeng Lu, et al. ∙ 11 ∙ share

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Dynamical Systems as Temporal Feature Spaces

Parameterized state space models in the form of recurrent networks are o...
07/15/2019 ∙ by Peter Tiňo, et al. ∙ 9 ∙ share

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Level-Based Analysis of the Univariate Marginal Distribution Algorithm

Estimation of Distribution Algorithms (EDAs) are stochastic heuristics t...
07/26/2018 ∙ by Duc-Cuong Dang, et al. ∙ 6 ∙ share

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Runtime Analysis of Fitness-Proportionate Selection on Linear Functions

This paper extends the runtime analysis of non-elitist evolutionary algo...
08/23/2019 ∙ by Duc-Cuong Dang, et al. ∙ 6 ∙ share

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VS-Net: Variable splitting network for accelerated parallel MRI reconstruction

In this work, we propose a deep learning approach for parallel magnetic ...
07/19/2019 ∙ by Jinming Duan, et al. ∙ 2 ∙ share

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G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector Features

In this paper, we propose a novel real-time 6D object pose estimation fr...
03/24/2020 ∙ by Wei Chen, et al. ∙ 1 ∙ share

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SeqHAND:RGB-Sequence-Based 3D Hand Pose and Shape Estimation

3D hand pose estimation based on RGB images has been studied for a long ...
07/10/2020 ∙ by John Yang, et al. ∙ 1 ∙ share

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Spatially-Adaptive Filter Units for Deep Neural Networks

Classical deep convolutional networks increase receptive field size by e...
11/30/2017 ∙ by Domen Tabernik, et al. ∙ 0 ∙ share

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Understanding State Preferences With Text As Data: Introducing the UN General Debate Corpus

Every year at the United Nations, member states deliver statements durin...
07/10/2017 ∙ by Alexander Baturo, et al. ∙ 0 ∙ share

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Kernel Truncated Regression Representation for Robust Subspace Clustering

Subspace clustering aims to group data points into multiple clusters of ...
05/15/2017 ∙ by Liangli Zhen, et al. ∙ 0 ∙ share

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Negatively Correlated Search

Evolutionary Algorithms (EAs) have been shown to be powerful tools for c...
04/20/2015 ∙ by Ke Tang, et al. ∙ 0 ∙ share

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Rejection-free Ensemble MCMC with applications to Factorial Hidden Markov Models

Bayesian inference for complex models is challenging due to the need to ...
03/24/2017 ∙ by Kaspar Märtens, et al. ∙ 0 ∙ share

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Testing and Learning on Distributions with Symmetric Noise Invariance

Kernel embeddings of distributions and the Maximum Mean Discrepancy (MMD...
03/22/2017 ∙ by Ho Chung Leon Law, et al. ∙ 0 ∙ share

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Probabilistic Matching: Causal Inference under Measurement Errors

The abundance of data produced daily from large variety of sources has b...
03/13/2017 ∙ by Fani Tsapeli, et al. ∙ 0 ∙ share

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Average Drift Analysis and Population Scalability

This paper aims to study how the population size affects the computation...
08/14/2013 ∙ by Jun He, et al. ∙ 0 ∙ share

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Synaptic Scaling Balances Learning in a Spiking Model of Neocortex

Learning in the brain requires complementary mechanisms: potentiation an...
04/08/2013 ∙ by Mark Rowan, et al. ∙ 0 ∙ share

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Bayesian Boolean Matrix Factorisation

Boolean matrix factorisation aims to decompose a binary data matrix into...
02/20/2017 ∙ by Tammo Rukat, et al. ∙ 0 ∙ share

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On the Easiest and Hardest Fitness Functions

The hardness of fitness functions is an important research topic in the ...
03/28/2012 ∙ by Jun He, et al. ∙ 0 ∙ share

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Scaling Up Estimation of Distribution Algorithms For Continuous Optimization

Since Estimation of Distribution Algorithms (EDA) were proposed, many at...
11/09/2011 ∙ by Weishan Dong, et al. ∙ 0 ∙ share

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Effects of Compensation, Connectivity and Tau in a Computational Model of Alzheimer's Disease

This work updates an existing, simplistic computational model of Alzheim...
06/30/2011 ∙ by Mark Rowan, et al. ∙ 0 ∙ share

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On the Impact of Mutation-Selection Balance on the Runtime of Evolutionary Algorithms

The interplay between mutation and selection plays a fundamental role in...
12/14/2010 ∙ by Per Kristian Lehre, et al. ∙ 0 ∙ share

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High-dimensional Black-box Optimization via Divide and Approximate Conquer

Divide and Conquer (DC) is conceptually well suited to high-dimensional ...
03/11/2016 ∙ by Peng Yang, et al. ∙ 0 ∙ share

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Detection of Human Rights Violations in Images: Can Convolutional Neural Networks help?

After setting the performance benchmarks for image, video, speech and au...
03/12/2017 ∙ by Grigorios Kalliatakis, et al. ∙ 0 ∙ share

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Evaluating Deep Convolutional Neural Networks for Material Classification

Determining the material category of a surface from an image is a demand...
03/12/2017 ∙ by Grigorios Kalliatakis, et al. ∙ 0 ∙ share

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A Refinement-Based Architecture for Knowledge Representation and Reasoning in Robotics

This paper describes an architecture that combines the complementary str...
08/17/2015 ∙ by Mohan Sridharan, et al. ∙ 0 ∙ share

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Semantic tracking: Single-target tracking with inter-supervised convolutional networks

This article presents a semantic tracker which simultaneously tracks a s...
11/19/2016 ∙ by Jingjing Xiao, et al. ∙ 0 ∙ share

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KR^3: An Architecture for Knowledge Representation and Reasoning in Robotics

This paper describes an architecture that combines the complementary str...
05/05/2014 ∙ by Shiqi Zhang, et al. ∙ 0 ∙ share

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Discriminative Functional Connectivity Measures for Brain Decoding

We propose a statistical learning model for classifying cognitive proces...
02/23/2014 ∙ by Orhan Firat, et al. ∙ 0 ∙ share

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Visual Stability Prediction and Its Application to Manipulation

Understanding physical phenomena is a key competence that enables humans...
09/15/2016 ∙ by Wenbin Li, et al. ∙ 0 ∙ share

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Towards Deep Compositional Networks

Hierarchical feature learning based on convolutional neural networks (CN...
09/13/2016 ∙ by Domen Tabernik, et al. ∙ 0 ∙ share

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Automatic Selection of the Optimal Local Feature Detector

A large number of different feature detectors has been proposed so far. ...
05/19/2016 ∙ by Bruno Ferrarini, et al. ∙ 0 ∙ share

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A Version of Geiringer-like Theorem for Decision Making in the Environments with Randomness and Incomplete Information

Purpose: In recent years Monte-Carlo sampling methods, such as Monte Car...
10/20/2011 ∙ by Boris Mitavskiy, et al. ∙ 0 ∙ share

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Comparison of several reweighted l1-algorithms for solving cardinality minimization problems

Reweighted l1-algorithms have attracted a lot of attention in the field ...
04/24/2013 ∙ by Mohammad Javad Abdi, et al. ∙ 0 ∙ share

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A Hierarchical Approach for Joint Multi-view Object Pose Estimation and Categorization

We propose a joint object pose estimation and categorization approach wh...
03/04/2015 ∙ by Mete Ozay, et al. ∙ 0 ∙ share

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Visual object tracking performance measures revisited

The problem of visual tracking evaluation is sporting a large variety of...
02/20/2015 ∙ by Luka Čehovin, et al. ∙ 0 ∙ share

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Semi-supervised Segmentation Fusion of Multi-spectral and Aerial Images

A Semi-supervised Segmentation Fusion algorithm is proposed using consen...
02/17/2015 ∙ by Mete Ozay, et al. ∙ 0 ∙ share

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A Simple LSTM model for Transition-based Dependency Parsing

We present a simple LSTM-based transition-based dependency parser. Our m...
08/29/2017 ∙ by Mohab Elkaref, et al. ∙ 0 ∙ share

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What Drives the International Development Agenda? An NLP Analysis of the United Nations General Debate 1970-2016

There is surprisingly little known about agenda setting for internationa...
08/19/2017 ∙ by Alexander Baturo, et al. ∙ 0 ∙ share

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Dependency Language Models for Transition-based Dependency Parsing

In this paper, we present an approach to improve the accuracy of a stron...
07/18/2016 ∙ by Juntao Yu, et al. ∙ 0 ∙ share

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Grasp that optimises objectives along post-grasp trajectories

In this article, we study the problem of selecting a grasping pose on th...
12/12/2017 ∙ by Amir M Ghalamzan E, et al. ∙ 0 ∙ share

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A Theoretical Analysis of Sparse Recovery Stability of Dantzig Selector and LASSO

Dantzig selector (DS) and LASSO problems have attracted plenty of attent...
11/10/2017 ∙ by Yun-Bin Zhao, et al. ∙ 0 ∙ share

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On the Learnability of Programming Language Semantics

Game semantics is a powerful method of semantic analysis for programming...
08/07/2017 ∙ by Dan R. Ghica, et al. ∙ 0 ∙ share

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Disunited Nations? A Multiplex Network Approach to Detecting Preference Affinity Blocs using Texts and Votes

This paper contributes to an emerging literature that models votes and t...
02/01/2018 ∙ by Caleb Pomeroy, et al. ∙ 0 ∙ share

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Improved Runtime Bounds for the Univariate Marginal Distribution Algorithm via Anti-Concentration

Unlike traditional evolutionary algorithms which produce offspring via g...
02/02/2018 ∙ by Per Kristian Lehre, et al. ∙ 0 ∙ share

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Efficient Implementation of Evaluation Strategies via Token-Guided Graph Rewriting

In implementing evaluation strategies of the lambda-calculus, both corre...
02/19/2018 ∙ by Koko Muroya, et al. ∙ 0 ∙ share

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The Dynamic Geometry of Interaction Machine: A Token-Guided Graph Rewriter

In implementing evaluation strategies of the lambda-calculus, both corre...
02/28/2018 ∙ by Koko Muroya, et al. ∙ 0 ∙ share

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Evolutionary Generative Adversarial Networks

Generative adversarial networks (GAN) have been effective for learning g...
03/01/2018 ∙ by Chaoyue Wang, et al. ∙ 0 ∙ share

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