Index Catalog // ScholarsArchive@OSU

Creator:: Ramanathan, Gowri
Resource Type:: Dissertation
Full Text:: techniques. The results presented in this thesis are the first ever for this category of problems. We have

Creator:: Moore, Travis
Abstract:: Image classification is a difficult problem, often requiring large training sets to get satisfactory results. However this is a task that humans perform very well, and incorporating user feedback into these learning algorithms could help reduce the dependency on large amounts of labeled training data. This process has already been...
Resource Type:: Masters Thesis
Full Text:: benefits of this kind of user feedback for image classification. c©Copyright by Travis Moore November 21

Creator:: Singh, Harshman
Abstract:: Timing attacks enable an attacker to extract secret information from a cryptosystem by observing timing differences with respect to different inputs given to an encryption or decryption algorithm. Werner Schindler has proposed a timing attack on smart card devices. We implemented this attack based on the same approach for RSA...
Resource Type:: Capstone Project
Full Text:: answered my questions and provided me with lot of inputs. Special thanks to David Brumley for clarifying

Creator:: Joshi, Varad Vidyadhar
Abstract:: The goal of Inductive Learning is to produce general rules from a set of seen examples, which can then be applied to other unseen examples. ID3 is an inductive learning algorithm that can be used for the classification task. The input to the algorithm is a set of tuples of...
Resource Type:: Masters Thesis
Full Text:: Description of DNF Target Concepts 48 B Description of CNF Target Concepts 49 C Description of Expert-Gate

Creator:: Bryant, Douglas W. (Douglas Wesley)
Abstract:: Within the past several years the technology of high-throughput sequencing has transformed the study of biology by offering unprecedented access to life's fundamental building block, DNA. With this transformation's potential a host of brand-new challenges have emerged, many of which lend themselves to being solved through computational methods. From de...
Resource Type:: Dissertation
Full Text:: : Algorithms for Massive Biological Datasets Abstract approved: Weng-Keen Wong Todd C. Mockler Within the

Creator:: Parker, Charles (Charles Lincoln)
Abstract:: The goal of many machine learning problems can be formalized as the creation of a function that can properly classify an input vector, given a set of examples of that function. While this formalism has produced a number of success stories, there are notable situations in which it fails. One...
Resource Type:: Dissertation
Full Text:: C:/Documents and Settings/Administrator/Desktop

Creator:: Briggs, Forrest
Abstract:: We consider the problem of supervised classification of bird species from audio recordings in a real-world acoustic monitoring scenario (i.e. audio data is collected in the field with an omnidirectional microphone, without human supervision). Obtaining better data about bird activity can assist conservation efforts, and improve our understanding of their...
Resource Type:: Dissertation

Creator:: Zheng, Yonglei
Abstract:: The study of physical activity is important in improving people’s health as it can help people understand the relationship between physical activity and health. Accelerometers, due to its small size, low cost, convenience and its ability to provide objective information about the frequency, intensity, and duration of physical activity, has...
Resource Type:: Masters Thesis

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