
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice
Machine learning algorithms have been used widely in various application...
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Machine Learning Towards Intelligent Systems: Applications, Challenges, and Opportunities
The emergence and continued reliance on the Internet and related technol...
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Machine Learning for Intelligent Authentication in 5GandBeyond Wireless Networks
The fifth generation (5G) and beyond wireless networks are critical to s...
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Scalable SemiSupervised SVM via Triply Stochastic Gradients
Semisupervised learning (SSL) plays an increasingly important role in t...
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Multiview Subspace Clustering via Partition Fusion
Multiview clustering is an important approach to analyze multiview dat...
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Deep Feature Learning for EEG Recordings
We introduce and compare several strategies for learning discriminative ...
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Kernel clustering: density biases and solutions
Kernel methods are popular in clustering due to their generality and dis...
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gLOP: the global and Local Penalty for Capturing Predictive Heterogeneity
When faced with a supervised learning problem, we hope to have rich enou...
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Aexpansion for multiple "hedgehog" shapes
Overlapping colors and cluttered or weak edges are common segmentation p...
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Kernel Cuts: MRF meets Kernel & Spectral Clustering
We propose a new segmentation model combining common regularization ener...
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Thin Structure Estimation with Curvature Regularization
Many applications in vision require estimation of thin structures such a...
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Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions
Many standard optimization methods for segmentation and reconstruction c...
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Joint Energybased Detection and Classificationon of Multilingual Text Lines
This paper proposes a new hierarchical MDLbased model for a joint detec...
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Optimal Belief Revision
We propose a new approach to belief revision that provides a way to chan...
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Map of Life: Measuring and Visualizing Species' Relatedness with "Molecular Distance Maps"
We propose a novel combination of methods that (i) portrays quantitative...
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Determining Points on Handwritten Mathematical Symbols
In a variety of applications, such as handwritten mathematics and diagra...
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The similarity metric
A new class of distances appropriate for measuring similarity relations ...
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A Novel Algorithm for Realtime Procedural Generation of Building Floor Plans
Realtime generation of naturallooking floor plans is vital in games wi...
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Matrix factoring by fractionfree reduction
We consider exact matrix decomposition by GaussBareiss reduction. We in...
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A random walk through experimental mathematics
We describe our adventures in creating a new firstyear course in Experi...
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On the Generalizability of Linear and NonLinear Region of InterestBased Multivariate Regression Models for fMRI Data
In contrast to conventional, univariate analysis, various types of multi...
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Resource Allocation in NOMA based Fog Radio Access Networks
In the wake of growth in intelligent mobile devices and wide usage of ba...
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EnergyEfficient Joint Offloading and Wireless Resource Allocation Strategy in MultiMEC Server Systems
Mobile edge computing (MEC) is an emerging paradigm that mobile devices ...
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Pelee: A RealTime Object Detection System on Mobile Devices
An increasing need of running Convolutional Neural Network (CNN) models ...
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Neural Sentence Location Prediction for Summarization
A competitive baseline in sentencelevel extractive summarization of new...
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Improving Neural Sequence Labelling using Additional Linguistic Information
Sequence labelling is the task of assigning categorical labels to a data...
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LearningAided Physical Layer Authentication as an Intelligent Process
Performance of the existing physical layer authentication schemes could ...
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Identifying ProteinProtein Interaction using Tree LSTM and Structured Attention
Identifying interactions between proteins is important to understand und...
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A Novel Neural Sequence Model with Multiple Attentions for Word Sense Disambiguation
Word sense disambiguation (WSD) is a well researched problem in computat...
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Bohemian Upper Hessenberg Toeplitz Matrices
We look at Bohemian matrices, specifically those with entries from {1, ...
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Bohemian Upper Hessenberg Matrices
We look at Bohemian matrices, specifically those with entries from {1, ...
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Novelty Search for Deep Reinforcement Learning Policy Network Weights by Action Sequence Edit Metric Distance
Reinforcement learning (RL) problems often feature deceptive local optim...
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Direct Data Detection of OFDM Signals Over Wireless Channels
This paper presents a novel efficient receiver design for wireless commu...
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From Helmut Jürgensen's Former Students: The Game of Informatics Research
Personal reflections are given on being students of Helmut Jürgensen. Th...
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Location Management in LTE Networks using MultiObjective Particle Swarm Optimization
Longterm evolution (LTE) and LTEadvance (LTEA) are widely used effici...
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TimeVarying Massive MIMO Channel Estimation: Capturing, Reconstruction and Restoration
On the timevarying channel estimation, the traditional downlink (DL) ch...
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Functional Correlations in the Pursuit of Performance Assessment of Classifiers
In statistical classification, machine learning, social and other scienc...
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Learning Open Information Extraction of Implicit Relations from Reading Comprehension Datasets
The relationship between two entities in a sentence is often implied by ...
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On the Parallelization of Triangular Decomposition of Polynomial Systems
We discuss the parallelization of algorithms for solving polynomial syst...
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A Technique for Finding Optimal Program Launch Parameters Targeting Manycore Accelerators
In this paper, we present a new technique to dynamically determine the v...
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Hybrid Nonlinear Observers for Inertial Navigation Using Landmark Measurements
This paper considers the problem of attitude, position and linear veloci...
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Visualizing Representational Dynamics with Multidimensional Scaling Alignment
Representational similarity analysis (RSA) has been shown to be an effec...
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Quadruply Stochastic Gradients for Large Scale Nonlinear SemiSupervised AUC Optimization
Semisupervised learning is pervasive in realworld applications, where ...
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Fast Authentication and Progressive Authorization in LargeScale IoT: How to Leverage AI for Security Enhancement?
Security provisioning has become the most important design consideration...
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FuturesBased Resource Trading and Fair Pricing in RealTime IoT Networks
Technology advancements on sensing, communications, and computing direct...
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Intelligent Network Slicing for V2X Services Towards 5G
Benefiting from the widely deployed LTE infrastructures, the fifth gener...
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FewShot Abstract Visual Reasoning With Spectral Features
We present an image preprocessing technique capable of improving the per...
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A Unified Framework for Lifelong Learning in Deep Neural Networks
Humans can learn a variety of concepts and skills incrementally over the...
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QualiBD Tool: Implementation Details
This paper describes the tools, technologies, and frameworks used in the...
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Quadruply Stochastic Gradient Method for Large Scale Nonlinear SemiSupervised Ordinal Regression AUC Optimization
Semisupervised ordinal regression (S^2OR) problems are ubiquitous in re...
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Western University
2718944 The University of Western Ontario, corporately branded as Western University as of 2012 and commonly shortened to Western, is a public research university in London, Ontario, Canada.