
Anomaly Detection with SDAE
Anomaly detection is a prominent data preprocessing step in learning app...
read it

SelfSupervised Deep Active Accelerated MRI
We propose to simultaneously learn to sample and reconstruct magnetic re...
read it

Optimizing Through Learned Errors for Accurate Sports Field Registration
We propose an optimizationbased framework to register sports field temp...
read it

A CNNLSTM Quantifier for Single Access Point CSI Indoor Localization
This paper proposes a combined network structure between convolutional n...
read it

PSDet: Efficient and Universal Parking Slot Detection
While realtime parking slot detection plays a critical role in valet pa...
read it

Predicting the Programming Language of Questions and Snippets of StackOverflow Using Natural Language Processing
Stack Overflow is the most popular Q&A website among software developers...
read it

Beyond Cartesian Representations for Local Descriptors
The dominant approach for learning local patch descriptors relies on sma...
read it

Multilabel Classification with Optimal Thresholding for Multicomposition Spectroscopic Analysis
In this paper, we implement multilabel neural networks with optimal thr...
read it

Log Message Anomaly Detection and Classification Using AutoB/LSTM and AutoGRU
Log messages are now widely used in software systems. They are important...
read it

Oversampling Log Messages Using a Sequence Generative Adversarial Network for Anomaly Detection and Classification
Dealing with imbalanced data is one the main challenges in machine/deep ...
read it

Espresso: Efficient Forward Propagation for BCNNs
There are many applications scenarios for which the computational perfor...
read it

Learning to Find Good Correspondences
We develop a deep architecture to learn to find good correspondences for...
read it

HandSeg: A Dataset for Hand Segmentation from Depth Images
We introduce a largescale RGBD hand segmentation dataset, with detailed...
read it

A Tight Excess Risk Bound via a Unified PACBayesianRademacherShtarkovMDL Complexity
We present a novel notion of complexity that interpolates between and ge...
read it

A Bayesian Group Sparse MultiTask Regression Model for Imaging Genetics
Motivation: Recent advances in technology for brain imaging and highthr...
read it

Fast Rates for General Unbounded Loss Functions: from ERM to Generalized Bayes
We present new excess risk bounds for general unbounded loss functions i...
read it

Regularization Parameter Selection for a Bayesian MultiLevel Group Lasso Regression Model with Application to Imaging Genomics
We investigate the choice of tuning parameters for a Bayesian multileve...
read it

HighDimensional Classification for Brain Decoding
Brain decoding involves the determination of a subject's cognitive state...
read it

Design and Implementation of a 3D Undersea Camera System
In this paper, we present the design and development of an undersea came...
read it

Framework of Channel Estimation for Hybrid AnalogandDigital Processing Enabled Massive MIMO Communications
We investigate a general channel estimation problem in the massive multi...
read it

A generalization of Schönemann's theorem via a graph theoretic method
Recently, Grynkiewicz et al. [ Israel J. Math. 193 (2013), 359398], us...
read it

An Empirical Study on the Impact of Refactoring Activities on Evolving ClientUsed APIs
Context: Refactoring is recognized as an effective practice to maintain ...
read it

Complexity of locallyinjective homomorphisms to tournaments
For oriented graphs G and H, a homomorphism f: G → H is locallyinjectiv...
read it

Using Propagation for Solving Complex Arithmetic Constraints
Solving a system of nonlinear inequalities is an important problem for w...
read it

The Analysis of Face Perception MEG and EEG Data Using a PottsMixture Spatiotemporal Joint Model
In this paper we analyze magnetoencephalography (MEG) and electroencepha...
read it

Do Developers Update Their Library Dependencies? An Empirical Study on the Impact of Security Advisories on Library Migration
Thirdparty library reuse has become common practice in contemporary sof...
read it

Typetwo polynomialtime and restricted lookahead
This paper provides an alternate characterization of typetwo polynomial...
read it

Optimal Energy Management Strategies in Wireless Data and Energy Cooperative Communications
This paper presents a new cooperative wireless communication network str...
read it

Gamification: a Game Changer for Managing Technical Debt? A Design Study
Context: Technical debt management is challenging for software engineers...
read it

A Better (Bayesian) Interval Estimate for WithinSubject Designs
We develop a Bayesian highestdensity interval (HDI) for use in withins...
read it

Modeling Precipitation Extremes using LogHistospline
One of the commonly used approaches to modeling univariate extremes is t...
read it

Eigendecompositionfree Training of Deep Networks with Zero Eigenvaluebased Losses
Many classical Computer Vision problems, such as essential matrix comput...
read it

ConnectivityPreserving Coordination Control of MultiAgent Systems with TimeVarying Delays
This paper presents a distributed position synchronization strategy that...
read it

Bayesian Hierarchical Modelling for Tailoring Metric Thresholds
Software is highly contextual. While there are crosscutting `global' le...
read it

A Deterministic Distributed Algorithm for Exact Weighted AllPairs Shortest Paths in Õ(n^3/2) Rounds
We present a deterministic distributed algorithm to compute allpairs sh...
read it

IntervalLike Graphs and Digraphs
We unify several seemingly different graph and digraph classes under one...
read it

LFNet: Learning Local Features from Images
We present a novel deep architecture and a training strategy to learn a ...
read it

Novel Video Prediction for Largescale Scene using Optical Flow
Making predictions of future frames is a critical challenge in autonomou...
read it

Hybrid Precoding Architecture for Massive Multiuser MIMO with Dissipation: SubConnected or FullyConnected Structures?
In this paper, we study the hybrid precoding structures over limited fee...
read it

Feature Learning and Classification in Neuroimaging: Predicting Cognitive Impairment from Magnetic Resonance Imaging
Due to the rapid innovation of technology and the desire to find and emp...
read it

A Framework on Hybrid MIMO Transceiver Design based on MatrixMonotonic Optimization
Hybrid transceiver can strike a balance between complexity and performan...
read it

SCC: Automatic Classification of Code Snippets
Determining the programming language of a source code file has been cons...
read it

Linear ℓIntersection Pairs of Codes and Their Applications
In this paper, a linear ℓintersection pair of codes is introduced as a ...
read it

MIST: Multiple Instance Spatial Transformer Network
We propose a deep network that can be trained to tackle image reconstruc...
read it

A Bayesian Spatial Model for Imaging Genetics
In recent work Greenlaw et al. (Bioinformatics, 2017) have developed a B...
read it

ECrits  Visualizing Support Ticket Escalation Risk
Managing support tickets in large, multiproduct organizations is diffic...
read it

Linearized MultiSampling for Differentiable Image Transformation
We propose a novel image sampling method for differentiable image transf...
read it

Simultaneous prediction of multiple outcomes using revised stacking algorithms
Motivation: HIV is difficult to treat because its virus mutates at a hig...
read it

Skewconstacyclic codes over F_q[v]/〈 v^qv 〉
In this paper, the investigation on the algebraic structure of the ring ...
read it

Construction of Isodual Quasicyclic Codes over Finite Fields
This paper considers the construction of isodual quasicyclic codes. Fir...
read it
University of Victoria
The University of Victoria is a major research university located in Victoria, British Columbia, Canada.