Browsing Theses and Dissertations(library) by Author "Kamangar, Farhad"
Now showing items 1-13 of 13
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Convex and Non-convex Optimization Methods for Machine Learning
Zohrizadeh, Fariba (2019-08-01)This dissertation is concerned with modeling fundamental and challenging machine learning tasks as convex/non-convex optimization problems and designing a mechanism that could solve them in a cost and time-effective manner. ... -
Deep Generative Sculpting Models for Single Image 3D Reconstruction
Jennings, Jason (2023-12-18)In the field of computer vision, learning representations of images is an important task. This dissertation introduces deep generative sculpting models (DGSM), deep learning models that learn 3D representations of objects ... -
Deep Representation Learning for Clustering and Domain Adaptation
Kheirandishfard, Mohsen (2019-12-05)Representation learning is a fundamental task in the area of machine learning which can significantly influence the performance of the algorithms used in various applications. The main goal of this task is to capture the ... -
Discovery Of Anomalous Patterns Within Multidimensional, Asynchronous Time-series With An Emphasis On The "internet Of Things"
Emmons, Stephen P., Jr. (Computer Science & Engineering, 2014-12)In this dissertation we examine ``Internet-scale'' systems that present us with multidimensional time-series data characterized by many sources sending symbols at irregular intervals over a common channel. We explore a ... -
DOMAIN ADAPTIVE TRANSFER LEARNING FOR VISUAL CLASSIFICATION
Imran, Ashiq; 0000-0001-5095-7757 (2021-08-16)Deep Neural Networks have made a significant impact on many computer vision applications with large-scale labeled datasets. However, in many applications, it is expensive and time-consuming to gather large-scale labeled ... -
FACE DETECTION AND RECOGNITION USING MOVING WINDOW ACCUMULATOR WITH VARIOUS DEEP LEARNING ARCHITECTURE
Nayak, Anil Kumar; 0000-0002-4401-8494 (2018-05-04)Recent advancement in the field of Computer Vision and Deep Learning is making object detection and recognition easier. Hence, growing research activities in the field of deep learning are enabling researchers to find new ... -
GAN-Based Domain Translation for Hand Pose Estimation and Face Reconstruction
Farahanipad, Farnaz (2022-08-05)Deep learning solutions for hand pose estimation are now very reliant on comprehensive datasets covering diverse camera perspectives, lighting conditions, shapes, and pose variations. Since, acquiring such datasets is a ... -
Improving Performance and Security in Anonymity Systems
Imani, Mohsen (2018-09-06)Tor is an anonymity network that provides online privacy for the Internet users. Tor hides the user's traffic among the others' traffic. The more users Tor attracts, the stronger anonymity it provides. Unfortunately, users ... -
KOPOS: A FRAMEWORK TO STUDY AND DETECT PHYSICAL AND COGNITIVE FATIGUE CONCURRENTLY
Kanal, Varun Ajay; 0000-0001-8344-0682 (2021-05-12)Fatigue is one of the most prevalent phenomena in human beings, and yet its detection is highly subjective and poorly understood. The phenomenon of fatigue has a huge impact on performance, the ability to execute tasks ... -
Sparse Representation Based Classification: Towards Efficiency And Accuracy
Shafiee, SoheilWith the fast growing deployment of machine intelligence in several real-life applications, there are always increasing needs for faster and more precise machine learning algorithms, especially classification and object ... -
Target Tracking With Lucas-kanade Optical Flow And Particle Filters Through Affine Transforms And Occlusion
Graham, Justin (Computer Science & Engineering, 2011-03-03)This paper investigates a hybrid approach derived from Lucas-Kanade optical flow tracking and particle filters that is capable of tracking objects through occlusion and affine transformations. This approach is inspired ... -
Use Of Wireless Signal Characteristics For Mobile Robotics Localization And Access Point Mapping
Davies, Joshua (Computer Science & Engineering, 2009-09-16)Mobile robotics is an interesting and challenging emerging field in computer science.To properly achieve true autonomy, a robot must be able to determine where it is in relationshipto a global frame of reference and it ... -
Using Property-Based Testing, Weighted Grammar-Based Generators, and a Consensus Oracle to Test Browser Rendering Engines and to Reproduce Minimized Versions of Existing Test Cases
Martin, Joel David; 0000-0001-8734-2019 (2019-12-10)Verifying that a web browser rendering engine correctly renders all valid web pages is challenging due to the size of the input space (valid web pages), the difficulty of determining correct rendering for any given web ...