Western University

∙ London , Canada ∙ 0 followers

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.

On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice

Machine learning algorithms have been used widely in various application...
07/30/2020 ∙ by Li Yang, et al. ∙ 243 ∙ share

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Machine Learning Towards Intelligent Systems: Applications, Challenges, and Opportunities

The emergence and continued reliance on the Internet and related technol...
01/11/2021 ∙ by MohammadNoor Injadat, et al. ∙ 11 ∙ share

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Machine Learning for Intelligent Authentication in 5G-and-Beyond Wireless Networks

The fifth generation (5G) and beyond wireless networks are critical to s...
06/30/2019 ∙ by He Fang, et al. ∙ 9 ∙ share

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Scalable Semi-Supervised SVM via Triply Stochastic Gradients

Semi-supervised learning (SSL) plays an increasingly important role in t...
07/26/2019 ∙ by Xiang Geng, et al. ∙ 2 ∙ share

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Multi-view Subspace Clustering via Partition Fusion

Multi-view clustering is an important approach to analyze multi-view dat...
12/03/2019 ∙ by Juncheng Lv, et al. ∙ 2 ∙ share

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Deep Feature Learning for EEG Recordings

We introduce and compare several strategies for learning discriminative ...
11/13/2015 ∙ by Sebastian Stober, et al. ∙ 0 ∙ share

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Kernel clustering: density biases and solutions

Kernel methods are popular in clustering due to their generality and dis...
05/16/2017 ∙ by Dmitrii Marin, et al. ∙ 0 ∙ share

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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...
07/29/2016 ∙ by Rhiannon V. Rose, et al. ∙ 0 ∙ share

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A-expansion for multiple "hedgehog" shapes

Overlapping colors and cluttered or weak edges are common segmentation p...
02/02/2016 ∙ by Hossam Isack, et al. ∙ 0 ∙ share

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Kernel Cuts: MRF meets Kernel & Spectral Clustering

We propose a new segmentation model combining common regularization ener...
06/24/2015 ∙ by Meng Tang, et al. ∙ 0 ∙ share

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Thin Structure Estimation with Curvature Regularization

Many applications in vision require estimation of thin structures such a...
06/15/2015 ∙ by Dmitrii Marin, et al. ∙ 0 ∙ share

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Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions

Many standard optimization methods for segmentation and reconstruction c...
05/01/2015 ∙ by Yuri Boykov, et al. ∙ 0 ∙ share

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Joint Energy-based Detection and Classificationon of Multilingual Text Lines

This paper proposes a new hierarchical MDL-based model for a joint detec...
07/23/2014 ∙ by Igor Milevskiy, et al. ∙ 0 ∙ share

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Optimal Belief Revision

We propose a new approach to belief revision that provides a way to chan...
03/08/2000 ∙ by Carmen Vodislav, et al. ∙ 0 ∙ share

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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...
07/14/2013 ∙ by Lila Kari, et al. ∙ 0 ∙ share

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Determining Points on Handwritten Mathematical Symbols

In a variety of applications, such as handwritten mathematics and diagra...
06/20/2013 ∙ by Rui Hu, et al. ∙ 0 ∙ share

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The similarity metric

A new class of distances appropriate for measuring similarity relations ...
11/20/2001 ∙ by Ming Li, et al. ∙ 0 ∙ share

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A Novel Algorithm for Real-time Procedural Generation of Building Floor Plans

Real-time generation of natural-looking floor plans is vital in games wi...
11/26/2012 ∙ by Maysam Mirahmadi, et al. ∙ 0 ∙ share

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Matrix factoring by fraction-free reduction

We consider exact matrix decomposition by Gauss-Bareiss reduction. We in...
03/11/2016 ∙ by Johannes Middeke, et al. ∙ 0 ∙ share

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A random walk through experimental mathematics

We describe our adventures in creating a new first-year course in Experi...
01/16/2018 ∙ by Eunice Y. S. Chan, et al. ∙ 0 ∙ share

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On the Generalizability of Linear and Non-Linear Region of Interest-Based Multivariate Regression Models for fMRI Data

In contrast to conventional, univariate analysis, various types of multi...
02/03/2018 ∙ by Ethan C. Jackson, et al. ∙ 0 ∙ share

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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...
03/15/2018 ∙ by H. Zhang, et al. ∙ 0 ∙ share

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Energy-Efficient Joint Offloading and Wireless Resource Allocation Strategy in Multi-MEC Server Systems

Mobile edge computing (MEC) is an emerging paradigm that mobile devices ...
03/20/2018 ∙ by Kang Cheng, et al. ∙ 0 ∙ share

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Pelee: A Real-Time Object Detection System on Mobile Devices

An increasing need of running Convolutional Neural Network (CNN) models ...
04/18/2018 ∙ by Robert J. Wang, et al. ∙ 0 ∙ share

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Neural Sentence Location Prediction for Summarization

A competitive baseline in sentence-level extractive summarization of new...
04/22/2018 ∙ by Tanner A. Bohn, et al. ∙ 0 ∙ share

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Improving Neural Sequence Labelling using Additional Linguistic Information

Sequence labelling is the task of assigning categorical labels to a data...
07/27/2018 ∙ by Mahtab Ahmed, et al. ∙ 0 ∙ share

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Learning-Aided Physical Layer Authentication as an Intelligent Process

Performance of the existing physical layer authentication schemes could ...
08/07/2018 ∙ by He Fang, et al. ∙ 0 ∙ share

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Identifying Protein-Protein Interaction using Tree LSTM and Structured Attention

Identifying interactions between proteins is important to understand und...
07/27/2018 ∙ by Mahtab Ahmed, et al. ∙ 0 ∙ share

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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...
09/04/2018 ∙ by Mahtab Ahmed, et al. ∙ 0 ∙ share

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Bohemian Upper Hessenberg Toeplitz Matrices

We look at Bohemian matrices, specifically those with entries from {-1, ...
09/27/2018 ∙ by Eunice Y. S. Chan, et al. ∙ 0 ∙ share

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Bohemian Upper Hessenberg Matrices

We look at Bohemian matrices, specifically those with entries from {-1, ...
09/27/2018 ∙ by Eunice Y. S. Chan, et al. ∙ 0 ∙ share

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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...
02/08/2019 ∙ by Ethan C. Jackson, et al. ∙ 0 ∙ share

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Direct Data Detection of OFDM Signals Over Wireless Channels

This paper presents a novel efficient receiver design for wireless commu...
02/09/2019 ∙ by Anas Saci, et al. ∙ 0 ∙ share

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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...
03/07/2019 ∙ by Mark Daley, et al. ∙ 0 ∙ share

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Location Management in LTE Networks using Multi-Objective Particle Swarm Optimization

Long-term evolution (LTE) and LTE-advance (LTE-A) are widely used effici...
05/03/2019 ∙ by Hashim A. Hashim, et al. ∙ 0 ∙ share

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Time-Varying Massive MIMO Channel Estimation: Capturing, Reconstruction and Restoration

On the time-varying channel estimation, the traditional downlink (DL) ch...
05/07/2019 ∙ by Muye Li, et al. ∙ 0 ∙ share

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Functional Correlations in the Pursuit of Performance Assessment of Classifiers

In statistical classification, machine learning, social and other scienc...
05/12/2019 ∙ by Nadezhda Gribkova, et al. ∙ 0 ∙ share

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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 ...
05/15/2019 ∙ by Jacob Beckerman, et al. ∙ 0 ∙ share

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On the Parallelization of Triangular Decomposition of Polynomial Systems

We discuss the parallelization of algorithms for solving polynomial syst...
05/31/2019 ∙ by Mohammadali Asadi, et al. ∙ 0 ∙ share

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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...
06/01/2019 ∙ by Alexander Brandt, et al. ∙ 0 ∙ share

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Hybrid Nonlinear Observers for Inertial Navigation Using Landmark Measurements

This paper considers the problem of attitude, position and linear veloci...
06/11/2019 ∙ by Miaomiao Wang, et al. ∙ 0 ∙ share

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Visualizing Representational Dynamics with Multidimensional Scaling Alignment

Representational similarity analysis (RSA) has been shown to be an effec...
06/21/2019 ∙ by Baihan Lin, et al. ∙ 0 ∙ share

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Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization

Semi-supervised learning is pervasive in real-world applications, where ...
07/29/2019 ∙ by Wanli Shi, et al. ∙ 0 ∙ share

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Fast Authentication and Progressive Authorization in Large-Scale IoT: How to Leverage AI for Security Enhancement?

Security provisioning has become the most important design consideration...
07/28/2019 ∙ by He Fang, et al. ∙ 0 ∙ share

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Futures-Based Resource Trading and Fair Pricing in Real-Time IoT Networks

Technology advancements on sensing, communications, and computing direct...
09/29/2019 ∙ by Shuran Sheng, et al. ∙ 0 ∙ share

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Intelligent Network Slicing for V2X Services Towards 5G

Benefiting from the widely deployed LTE infrastructures, the fifth gener...
10/03/2019 ∙ by Jie Mei, et al. ∙ 0 ∙ share

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Few-Shot Abstract Visual Reasoning With Spectral Features

We present an image preprocessing technique capable of improving the per...
10/04/2019 ∙ by Tanner Bohn, et al. ∙ 0 ∙ share

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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...
11/21/2019 ∙ by Charles X. Ling, et al. ∙ 0 ∙ share

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QualiBD Tool: Implementation Details

This paper describes the tools, technologies, and frameworks used in the...
12/09/2019 ∙ by Darlan Arruda, et al. ∙ 0 ∙ share

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Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization

Semi-supervised ordinal regression (S^2OR) problems are ubiquitous in re...
12/24/2019 ∙ by Wanli Shi, et al. ∙ 0 ∙ share

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