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Fall 2009

Lei, Cheng

Free viewpoint video (FVV) has been widely speculated as one of the next generation of visual media applications. By taking advantage of camera array based multiple imaging techniques, FVV enables free viewpoint navigation to invoke a sense of “being immersed” for the viewers. This thesis...

Fall 2010

Ye, Qinghua

A cluster-based router is a new router architecture that is composed of a cluster of commodity processing nodes interconnected by a high-speed and low-latency network. It inherits packet processing extensibility from the software router, and forwarding performance scalability from clustering. In...

Spring 2012

Mirian HosseinAbadi, MahdiehSadat

In this thesis we propose a computational model of animal behavior in spatial navigation, based on reinforcement learning ideas. In the field of computer science and specifically artificial intelligence, replay refers to retrieving and reprocessing the experiences that are stored in an abstract...

Fall 2013

Alipour, Anahita

The issue-tracking systems used by software projects contain issues or bugs written by a wide variety of bug reporters, with different levels of knowledge about the system under development. Typically, reporters lack the skills and/or time to search the issue-tracking system for similar issues...

Fall 2012

Idrissov, Agzam Y.

Recent proliferation of low-cost and lightweight GPS tracking devices led to a large increase in the amounts of collected mobility data. The rapidly emerging field of location-based services requires accurate and informative knowledge mining from these large quantities of data. One such mobility...

Spring 2022

Konobeev, Mikhail

A key problem in the theory of meta-learning is to understand how the task distributions influence transfer risk, the expected error of a meta-learner on a new task drawn from the unknown task distribution. In this work, focusing on fixed design linear regression with Gaussian noise and a...

Fall 2013

Zhou, Ailin

In wireless sensor networks, sensor nodes may fail due to energy depletion or physical damage. To recover the data of a failed node, we propose a fault recovery scheme which enables the remaining alive sensor nodes to use the redundant information with regard to the failed node to fulfill the...

Fall 2019

Silva, Victor

Nowadays, the volume of collected data and the size of datasets raise various challenges in the field of data mining. One of such challenges is to, given a dataset, monitor a set of data points and its changes over a period of time. Previously, this monitoring has been done using pattern...

Fall 2020

Zhanbyrtayev, Madi

The ubiquity of the Internet-of-Things (IoT) devices in everyday life allows various sensors to be utilized in networked systems for solving a number of real-world problems. Models utilizing specific sensing modalities achieve impressive performance in understanding human activity and are used in...

Spring 2021

Cavalcante Araujo Neto, Antonio

HDBSCAN* is a hierarchical density-based clustering method that requires a single parameter mpts, a smoothing factor that implicitly influences which clusters are more detectable in the resulting clustering hierarchy. While a small change in mpts typically leads to a small change in the...