Index Catalog // Arch : Northwestern University Institutional Repository

Description:: Recent developments in deep learning have led to breakthroughs in rendering novel views from sparse input views of a scene.While the accuracy of these algorithms has improved dramatically, it has come at a huge computational cost. While developments in graphics hardware have ameliorated some of the computational burdens, deep learning-based...
Keyword:: Augmented Reality, deep learning, novel view, and view synthesis
Subject:: Computer engineering and Computer science
Creator:: Ghosh, Sushobhan
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 10/07/2021
Date Created:: 2021-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_834671 and http://dissertations.umi.com/northwestern:15657

Description:: Commonsense inference is a critical capability of modern artificial intelligence (AI) systems. The machines need commonsense knowledge to perform tasks exactly like human being does. Learning commonsense inference from text has been a long standing challenge in the field of natural language processing due to reporting bias -- people do...
Keyword:: data augmentation, commonsense inference, statistical modeling in text data, NLP, deep learning, and language modeling
Subject:: Statistics and Computer science
Creator:: Yang, Yiben
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/01/2021
Date Created:: 2020-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:15163 and etdadmin_upload_750023

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

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