
Margin Maximization as Lossless Maximal Compression
The ultimate goal of a supervised learning algorithm is to produce model...
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Nonmonotonic Logical Reasoning Guiding Deep Learning for Explainable Visual Question Answering
State of the art algorithms for many pattern recognition problems rely o...
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Assessing Capsule Networks With Biased Data
Machine learning based methods achieves impressive results in object cla...
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Geometry Constrained Weakly Supervised Object Localization
We propose a geometry constrained network, termed GCNet, for weakly sup...
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Dynamical Systems as Temporal Feature Spaces
Parameterized state space models in the form of recurrent networks are o...
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LevelBased Analysis of the Univariate Marginal Distribution Algorithm
Estimation of Distribution Algorithms (EDAs) are stochastic heuristics t...
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Runtime Analysis of FitnessProportionate Selection on Linear Functions
This paper extends the runtime analysis of nonelitist evolutionary algo...
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VSNet: Variable splitting network for accelerated parallel MRI reconstruction
In this work, we propose a deep learning approach for parallel magnetic ...
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G2LNet: Global to Local Network for Realtime 6D Pose Estimation with Embedding Vector Features
In this paper, we propose a novel realtime 6D object pose estimation fr...
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SeqHAND:RGBSequenceBased 3D Hand Pose and Shape Estimation
3D hand pose estimation based on RGB images has been studied for a long ...
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SpatiallyAdaptive Filter Units for Deep Neural Networks
Classical deep convolutional networks increase receptive field size by e...
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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...
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Kernel Truncated Regression Representation for Robust Subspace Clustering
Subspace clustering aims to group data points into multiple clusters of ...
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Negatively Correlated Search
Evolutionary Algorithms (EAs) have been shown to be powerful tools for c...
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Rejectionfree Ensemble MCMC with applications to Factorial Hidden Markov Models
Bayesian inference for complex models is challenging due to the need to ...
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Testing and Learning on Distributions with Symmetric Noise Invariance
Kernel embeddings of distributions and the Maximum Mean Discrepancy (MMD...
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Probabilistic Matching: Causal Inference under Measurement Errors
The abundance of data produced daily from large variety of sources has b...
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Average Drift Analysis and Population Scalability
This paper aims to study how the population size affects the computation...
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Synaptic Scaling Balances Learning in a Spiking Model of Neocortex
Learning in the brain requires complementary mechanisms: potentiation an...
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Bayesian Boolean Matrix Factorisation
Boolean matrix factorisation aims to decompose a binary data matrix into...
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On the Easiest and Hardest Fitness Functions
The hardness of fitness functions is an important research topic in the ...
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Scaling Up Estimation of Distribution Algorithms For Continuous Optimization
Since Estimation of Distribution Algorithms (EDA) were proposed, many at...
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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...
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On the Impact of MutationSelection Balance on the Runtime of Evolutionary Algorithms
The interplay between mutation and selection plays a fundamental role in...
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Highdimensional Blackbox Optimization via Divide and Approximate Conquer
Divide and Conquer (DC) is conceptually well suited to highdimensional ...
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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...
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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...
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A RefinementBased Architecture for Knowledge Representation and Reasoning in Robotics
This paper describes an architecture that combines the complementary str...
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Semantic tracking: Singletarget tracking with intersupervised convolutional networks
This article presents a semantic tracker which simultaneously tracks a s...
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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...
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Discriminative Functional Connectivity Measures for Brain Decoding
We propose a statistical learning model for classifying cognitive proces...
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Visual Stability Prediction and Its Application to Manipulation
Understanding physical phenomena is a key competence that enables humans...
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Towards Deep Compositional Networks
Hierarchical feature learning based on convolutional neural networks (CN...
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Automatic Selection of the Optimal Local Feature Detector
A large number of different feature detectors has been proposed so far. ...
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A Version of Geiringerlike Theorem for Decision Making in the Environments with Randomness and Incomplete Information
Purpose: In recent years MonteCarlo sampling methods, such as Monte Car...
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Comparison of several reweighted l1algorithms for solving cardinality minimization problems
Reweighted l1algorithms have attracted a lot of attention in the field ...
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A Hierarchical Approach for Joint Multiview Object Pose Estimation and Categorization
We propose a joint object pose estimation and categorization approach wh...
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Visual object tracking performance measures revisited
The problem of visual tracking evaluation is sporting a large variety of...
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Semisupervised Segmentation Fusion of Multispectral and Aerial Images
A Semisupervised Segmentation Fusion algorithm is proposed using consen...
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A Simple LSTM model for Transitionbased Dependency Parsing
We present a simple LSTMbased transitionbased dependency parser. Our m...
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What Drives the International Development Agenda? An NLP Analysis of the United Nations General Debate 19702016
There is surprisingly little known about agenda setting for internationa...
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Dependency Language Models for Transitionbased Dependency Parsing
In this paper, we present an approach to improve the accuracy of a stron...
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Grasp that optimises objectives along postgrasp trajectories
In this article, we study the problem of selecting a grasping pose on th...
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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...
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On the Learnability of Programming Language Semantics
Game semantics is a powerful method of semantic analysis for programming...
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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...
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Improved Runtime Bounds for the Univariate Marginal Distribution Algorithm via AntiConcentration
Unlike traditional evolutionary algorithms which produce offspring via g...
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Efficient Implementation of Evaluation Strategies via TokenGuided Graph Rewriting
In implementing evaluation strategies of the lambdacalculus, both corre...
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The Dynamic Geometry of Interaction Machine: A TokenGuided Graph Rewriter
In implementing evaluation strategies of the lambdacalculus, both corre...
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Evolutionary Generative Adversarial Networks
Generative adversarial networks (GAN) have been effective for learning g...
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University of Birmingham
The University of Birmingham is a public research university located in Edgbaston, Birmingham, United Kingdom.