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Filtering by: Creator Ahmad, Amir Committee Member Fern, Alan

Theory and Implementation of a Variational Database Management System

Creator:

Ataei, Parisa S.

Abstract:

In this thesis, I present the variational database management system, a formal framework and its implementation for representing variation in relational databases and managing variational information needs. A variational database is intended to support any kind of variation in a database. Specific kinds of variation in databases have already been...

Resource Type:

Dissertation

Full Text:

. Thank you to the members of my program committee–Martin Erwig, Alan Fern, Amir Nayyeri–for all their
Toward Disentangling the Activations of the Deep Networks via Low-dimensional Embedding and Non-negative Factorization

Creator:

Khorram, Saeed

Abstract:

In this thesis, we introduce a novel Explanation Neural Network (XNN) to explain the predictions made by a deep network. The XNN works by embedding a high-dimensional activation vector of a deep network layer non-linearly into a low-dimensional explanation space while retaining faithfulness i.e., the original deep learning predictions can...

Resource Type:

Masters Thesis
Part-based and Uncertainty-Aware Few-shot Object Segmentation in Images

Creator:

Nguyen, Khoi D.

Abstract:

This dissertation addresses few-shot object segmentation in images. The goal of segmentation is to label every image pixel with a class of the object occupying that pixel, where the class may represent a semantic object category or instance. In few-shot segmentation, training and test datasets have different classes. Every new...

Resource Type:

Dissertation