Browsing Mathematics (Faculty of) by Title
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LargeScale Emulation of Anonymous Communication Networks
(University of Waterloo, 20140815)Tor is the most popular lowlatency anonymous communication system for the Internet, helping people to protect their privacy online and circumvent Internet censorship. Its low latency anonymity and distributed design ... 
Latelumping backstepping control of partial differential equations
(Elsevier, 201902)We consider in this paper three different partial differential equations (PDEs) that can be exponentially stabilized using backstepping controllers. For implementation, a finitedimensional controller is generally needed. ... 
A Latent Health Factor Model for Estimating Estuarine Ecosystem Health
(University of Waterloo, 20090520)Assessment of the “health” of an ecosystem is often of great interest to those interested in monitoring and conservation of ecosystems. Traditionally, scientists have quantified the health of an ecosystem using multimetric ... 
Lattice Compression of Polynomial Matrices
(University of Waterloo, 20070501)This thesis investigates lattice compression of polynomial matrices over finite fields. For an m x n matrix, the goal of lattice compression is to find an m x (m+k) matrix, for some relatively small k, such that the ... 
Learn2Perturb: an Endtoend Feature Perturbation Learning to Improve Adversarial Robustness
(University of Waterloo, 20200819)Deep neural networks have been achieving stateoftheart performance across a wide variety of applications, and due to their outstanding performance, they are being deployed in safety and security critical systems. However, ... 
Learning Automatic Question Answering from Community Data
(University of Waterloo, 20120919)Although traditional search engines can retrieval thousands or millions of web links related to input keywords, users still need to manually locate answers to their information needs from multiple returned documents or ... 
Learning EnergyAware Transaction Scheduling in Database Systems
(University of Waterloo, 20210920)Servers are typically sized to accommodate peak loads, but in practice, they remain underutilized for much of the time. During periods of low load, there is an opportunity to save power by quickly adjusting processor ... 
Learning Factors and Determining Documentlevel Satisfaction In SearchasLearning
(University of Waterloo, 20170426)An important use of search engines is as a tool for learning. Search engines help users find learning material and increases their knowledge in various topics. The underlying process of learning while web searching and ... 
Learning Filters for the 2D Wavelet Transform
(IEEE, 2018)We propose a new method for learning filters for the 2D discrete wavelet transform. We extend our previous work on the 1D wavelet transform in order to process images. We show that the 2D wavelet transform can be represented ... 
Learning From Almost No Data
(University of Waterloo, 20210615)The tremendous recent growth in the fields of artificial intelligence and machine learning has largely been tied to the availability of big data and massive amounts of compute. The increasingly popular approach of training ... 
Learning from Green Technology Designers
(University of Waterloo, 20140213)This thesis presents results from a qualitative case study on environmentally minded technology designers, and provides an account of how these designers think, differ and behave. Through semistructured interviews, we ... 
Learning from Partially Labeled Data: Unsupervised and Semisupervised Learning on Graphs and Learning with Distribution Shifting
(University of Waterloo, 20070820)This thesis focuses on two fundamental machine learning problems:unsupervised learning, where no label information is available, and semisupervised learning, where a small amount of labels are given in addition to unlabeled ... 
Learning in largescale spiking neural networks
(University of Waterloo, 20110831)Learning is central to the exploration of intelligence. Psychology and machine learning provide highlevel explanations of how rational agents learn. Neuroscience provides lowlevel descriptions of how the brain changes ... 
Learning Instruction Scheduling Heuristics from Optimal Data
(University of Waterloo, 2006)The development of modern pipelined and multiple functional unit processors has increased the available instruction level parallelism. In order to fully utilize these resources, compiler writers spend large amounts of ... 
Learning Quantum States Without Entangled Measurements
(University of Waterloo, 20211022)How many samples of a quantum state are required to learn a complete description of it? As we will see in this thesis, the finegrained answer depends on the measurements available to the learner, but in general it is at ... 
Learning Sparse Orthogonal Wavelet Filters
(University of Waterloo, 20181012)The wavelet transform is a well studied and understood analysis technique used in signal processing. In wavelet analysis, signals are represented by a sum of selfsimilar wavelet and scaling functions. Typically, the wavelet ... 
Learning with nonStandard Supervision
(University of Waterloo, 20130926)Machine learning has enjoyed astounding practical success in a wide range of applications in recent yearspractical success that often hurries ahead of our theoretical understanding. The standard framework for ... 
LearningFree Methods for Goal Conditioned Reinforcement Learning from Images
(University of Waterloo, 20210427)We are interested in training goalconditioned reinforcement learning agents to reach arbitrary goals specified as images. In order to make our agent fully general, we provide the agent with only images of the environment ... 
Lehmer Numbers with at Least 2 Primitive Divisors
(University of Waterloo, 20071024)In 1878, Lucas \cite{lucas} investigated the sequences $(\ell_n)_{n=0}^\infty$ where $$\ell_n=\frac{\alpha^n\beta^n}{\alpha\beta},$$ $\alpha \beta$ and $\alpha+\beta$ are coprime integers, and where $\beta/\alpha$ is ... 
Leveraged Plans for Measurement System Assessment
(University of Waterloo, 20090820)In manufacturing, measurement systems are used to control processes and inspect parts with the goal of producing high quality product for the customer. Modern Quality Systems require the periodic assessment of key measurement ...