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-
- Description:
- In the near future, self-driving or driverless vehicles will operate without human control, enabling passengers to use their time in new ways. This opens up avenues for designing new interactions and experiences for individuals or groups traveling in an automobile. For that scenario, automobile manufacturers propose developing bigger and better...
- Keyword:
- self-driving cars
- Subject:
- Computer science and Autonomous vehicles
- Creator:
- Amartya Banerjee
- Owner:
- Chris Diaz
- Date Uploaded:
- 01/16/2019
- Date Modified:
- 01/16/2019
- Date Created:
- 2018
- Resource Type:
- Dissertation
-
- Description:
- A core problem in many computer vision applications is visual recognition (including object classification, detection and localization). Recent advances in artificial neural networks (aka ”deep learning”) have significantly pushed forward the state-of-the-art visual recognition performances. However, due to the lack of semantic structure modeling, most current deep learning approaches do...
- Keyword:
- visual recognition, deep learning, computer vision, and compositional
- Subject:
- Electrical engineering and Computer science
- Creator:
- Tang, Wei
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_670616 and http://dissertations.umi.com/northwestern:14725
-
- Description:
- Modeling human language is at the very frontier of machine learning and artificial intelligence. Statistical language models are probabilistic models that assign probabilities to sequences of words. For example, topic models are frequently used text-mining tools to organize a vast set of unstructured documents by exploring their theme structure. More...
- Keyword:
- definition modeling, statistical language models, deep learning, nonparametric Bayesian model, community detection, and neural language models
- Subject:
- Artificial intelligence, Statistics, and Computer science
- Creator:
- Zhu, Ruimin
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_685529 and http://dissertations.umi.com/northwestern:14809
-
- Description:
- We address the problem of efficient maintenance of the answer to a new type of query: Continuous Maximizing Range-Sum (Co-MaxRS) for moving objects trajectories. The traditional static/spatial MaxRS problem finds a location for placing the centroid of a given (axes-parallel) rectangle $R$ so that the sum of the weights of...
- Keyword:
- Maximizing Range-Sum Query, MaxRS3, Optimal Density Clustering, Bursty Updates, Moving Objects Trajectories, and MaxRS
- Subject:
- Mathematics, Computer engineering, and Computer science
- Creator:
- Mas-ud Hussain, Muhammed
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:14445 and etdadmin_upload_625938
-
- Description:
- Polymer nanocomposites are a class of advanced materials comprised of soft polymer matrix and nano-filler inclusions. While it has been found qualitatively that enhancements of material properties could be achieved by dispersing inorganic nano-particles into organic polymer matrix, the intrinsic governing principles of such composite has not been thoroughly studied...
- Keyword:
- Interphase, Data Mining, Design Optimization, Finite Element Analysis, Deep Learning, and Microstructure Characterization and Reconstruction
- Subject:
- Mechanical engineering, Computer science, and Engineering
- Creator:
- Li, Xiaolin
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:14436 and etdadmin_upload_625304
-
- Description:
- Connecting structure and function in nanoscale engineered materials and devices relies on the analysis of the fundamental arrangement of matter, frequently under dynamic conditions. The demand to image structures at fundamental length scales has touched inorganic materials, biology, and frequently hybrid hard/soft materials with unique phenomena driven by heterogeneous components....
- Keyword:
- Imaging, Materials Imaging, Soft Materials, Crystallography, Machine Learning, and Electron Microscopy
- Subject:
- Nanoscience, Materials Science, and Computer science
- Creator:
- Hujsak, Karl
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:14515 and etdadmin_upload_638887
-
- Description:
- In this dissertation, we study different machine learning algorithms including probabilistic, sparse and deep learning based models applied to multi-sensory datasets. In many machine learning problems, samples are collected from more than one source or modality. Also, various feature extraction methods can be used to provide more than one set...
- Subject:
- Computer science
- Creator:
- Rohani, Neda
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:14441 and etdadmin_upload_625710
-
- Description:
- Data mining is multidisciplinary process involving computer science, artificial intelli- gence, and machine learning. The aim of data mining is discovering knowledge from a vast amount of data. This process consists of a set of stages forming a pipeline. This pipeline process consists of multiple steps: 1) Finding the right...
- Subject:
- Computer science
- Creator:
- Al-Bahrani, Reda
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_631418 and http://dissertations.umi.com/northwestern:14485
-
- Description:
- Blockchains are an exciting new type of Peer-to-Peer (P2P) distributed systems, which enable parties to transact directly, and maintain the record of said interactions in a distributed manner. A unique feature of blockchains is their ability to maintain a consensus without requiring knowledge on the number of participants, nor their...
- Keyword:
- Blockchain Distribution Network, Distributed Systems, Blockchain Scalability, Blockchain, Layer-0, and Relay Networks
- Subject:
- Computer science
- Creator:
- Klarman, Uri
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:14514 and etdadmin_upload_638535
-
- Description:
- The theory of how humans and machines control and communicate with each other is at the core of the scientific field known as Human-Robot Interaction (HRI). Researchers in this sub-discipline of robotics are therefore particularly interested in developing methods to chuppahreduce the inherent friction in this communication and control channel....
- Keyword:
- Human-Robot Interaction, Data-driven Control, Machine Learning, and Optimal Control
- Subject:
- Robotics and Computer science
- Creator:
- Broad, Alexander Sherman
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_683518 and http://dissertations.umi.com/northwestern:14789
-
- Description:
- Newcomers, or new members to organizations or professions, bring insights that are critical to the advancement of society. Yet newcomers often have low self-efficacy, or low beliefs in their abilities to achieve a task, which can impact performance and retention. Research suggests that self-efficacy can be developed through in-person social...
- Keyword:
- Computer-Supported Cooperative Work, Human Computer Interaction, Newcomers, Mentorship, Social Support, and Self-Efficacy
- Subject:
- Computer science and Communication
- Creator:
- Harburg, Emily Kathryn
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:14413 and etdadmin_upload_618138
-
- Description:
- This dissertation combines perspectives from social networks and teams research to advance understanding of team self-assembly. Across three substantive chapters, I explore team member search behaviors and invitation patterns in contexts where individuals exercise agency to select team members. First, I consider the search for team members in a social...
- Keyword:
- social networks, network search, network analysis, teams, collaboration, and team assembly
- Subject:
- Computer science and Communication
- Creator:
- Twyman, Marlon
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_682474 and http://dissertations.umi.com/northwestern:14785
-
- Description:
- Responsiveness -- the time it takes for a message recipient to respond to a message -- has long been of interest to scholars in the fields of computer-mediated communication and human-computer interaction. It has been hypothesized that responsiveness is used to signal emotional information, and many empirical studies have demonstrated...
- Subject:
- Information science, Computer science, and Communication
- Creator:
- Heston, Matthew
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:14416 and etdadmin_upload_618506
-
- Description:
- Abstract The work presented in this dissertation addresses three broad areas of video signal processing: video transmission, motion estimation and error concealment. In the first category, focused on the source-side, we present two machine learning models for efficient content-aware resource allocation and packet prioritization for video transmission over shared/constrained, lossy...
- Keyword:
- CNN, Optical Flow, Video Transmission, Neural Networks, ConvLSTM, Motion Estimation, Error Concealment, and Capsule Networks
- Subject:
- Electrical engineering, Computer engineering, and Computer science
- Creator:
- Sankisa, Arun
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:14822 and etdadmin_upload_685993
-
- Description:
- Visual matching is an important and fruitful research topic in computer vision area. Starting from the early face recognition, super-resolution, object tracking to the most recent person re-identification, cross-model retrieval, visual matching plays an important role as the core component in these tasks. The quality of visual matching directly and...
- Keyword:
- person re-identifciation, small-size samples, visual matching, and metric learning
- Subject:
- Computer science
- Creator:
- ZHOU, JIAHUAN
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_625781 and http://dissertations.umi.com/northwestern:14443
-
- Description:
- Annual age-adjusted breast cancer incidence rates in the United States have been static for decades. More recently, the development of massively parallel, high throughput DNA sequencing has enabled the cataloging of somatic mutations in cancer. Mutations are non-random and occur within sequence motifs. These motifs provide us with evidence to...
- Keyword:
- Natural Language Processing, Electronic Health Records, Genomics, Mutational Processes, Breast Cancer, and Machine Learning
- Subject:
- Bioinformatics and Computer science
- Creator:
- Zeng, Zexian
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:14500 and etdadmin_upload_635668
-
- Description:
- In the near future, self-driving or driverless vehicles will operate without human control, enabling passengers to use their time in new ways. This opens up avenues for designing new interactions and experiences for individuals or groups traveling in an automobile. For that scenario, automobile manufacturers propose developing bigger and better...
- Subject:
- Computer science
- Creator:
- Banerjee, Amartya
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_624372 and http://dissertations.umi.com/northwestern:14432
-
- Description:
- Recovering three-dimensional (3D) structural information of a specimen from a single two-dimensional (2D) measurement remains an important but challenging task in microscopic imaging. A conventional 2D microscopic image has a shallow depth-of-focus (DoF). Thus, recovering 3D information usually requires sequentially z-scanning the focal planes. This process is time consuming and...
- Keyword:
- Microscopy, Single-shot, Computational imaging, and Optimization
- Subject:
- Computer science
- Creator:
- He, Kuan
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_680840 and http://dissertations.umi.com/northwestern:14776
-
- Description:
- Automated sketch collaborators might help us create more dynamic intelligent tutoring systems, work out designs, reduce bias in solving spatial social problems, and organize our ideas. Here, we examine some properties of sketch recognition methods designed to help serve that goal. Structure Mapping techniques are applied to symbolic structural descriptions...
- Keyword:
- Near-misses, Case-based reasoning, Structure Mapping, Sketch recognition, Analogy, and Support Vector Machines
- Subject:
- Artificial intelligence and Computer science
- Creator:
- McLure, Matthew David
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:14531 and etdadmin_upload_640032
-
- Description:
- Natural Language Processing methods have become increasingly important for a variety of high- and low-level tasks including speech recognition, question answering, and automatic language translation. The state of the art performance of these methods is continuously advancing, but reliance on labeled training data sets often creates an artificial upper bound...
- Keyword:
- Word Embeddings, Natural Language Processing, Polysemy, and Neural Networks
- Subject:
- Artificial intelligence and Computer science
- Creator:
- Lucas, Michael Ryan
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2017-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_677765 and http://dissertations.umi.com/northwestern:14760