Thesis (doctoral)--Göteborgs universitet, 1999. / Includes bibliographical references.

Thesis (M.A.)--The University of North Carolina at Greensboro, 2009. / Directed by Rick L. Bunch; submitted to the Dept. of Geography. Title from PDF t.p. (viewed May 17, 2010). Includes bibliographical references (p. 66-68).

Thesis (M. S.)--Architecture, Georgia Institute of Technology, 2007. / Vollmer, Florian, Committee Member ; Ringholz, David, Committee Member ; Chung, Wayne, Committee Chair.

Thesis (Ph. D.)--Ohio State University, 2007. / Title from first page of PDF file. Includes bibliographical references (p. 217-223).

This memo describes the initial results of a project to create aself-supervised algorithm for learning object segmentation from videodata. Developmental psychology and computational experience havedemonstrated that the motion segmentation of objects is a simpler,more primitive process than the detection of object boundaries bystatic image cues. Therefore, motion information provides a plausiblesupervision signal for learning the static boundary detection task andfor evaluating performance on a test set. A video camera andpreviously developed background subtraction algorithms canautomatically produce a large database of motion-segmented images forminimal cost. The purpose of this work is to use the information insuch a database to learn how to detect the object boundaries in novelimages using static information, such as color, texture, and shape.This work was funded in part by the Office of Naval Research contract#N00014-00-1-0298, in part by the Singapore-MIT Alliance agreement of11/6/98, and in part by a National Science Foundation Graduate StudentFellowship.

This paper presents a statistical framework which combines the registration of an atlas with the segmentation of MR images. We use an Expectation Maximization-based algorithm to find a solution within the model, which simultaneously estimates image inhomogeneities, anatomical labelmap, and a mapping from the atlas to the image space. An example of the approach is given for a brain structure-dependent affine mapping approach. The algorithm produces high quality segmentations for brain tissues as well as their substructures. We demonstrate the approach on a set of 30 brain MR images. In addition, we show that the approach performs better than similar methods which separate the registration from the segmentation problem.

No description available.

People talk about coherent episodes of their experience, leading to strong dependencies between words and the contexts in which they appear. Consequently, language within a context is more repetitive and more coherent than language sampled from across contexts. In this dissertation, I investigated how patterns in infant-directed speech differ under context-sensitive compared to context-independent analysis. In particular, I tested the hypothesis that cues to word boundaries may be clearer within contexts. Analyzing a large corpus of transcribed infant-directed speech, I implemented three different approaches to defining context: a top-down approach using the occurrence of key words from pre-determined context lists, a bottom-up approach using topic modeling, and a subjective coding approach where contexts were determined by open-ended, subjective judgments of coders reading sections of the transcripts. I found substantial agreement among the context codes from the three different approaches, but also important differences in the proportion of the corpus that was identified by context, the distribution of the contexts identified, and some characteristics of the utterances selected by each approach. I discuss implications for the use and interpretation of contexts defined in each of these three ways, and the value of a multiple-method approach in the exploration of context. To test the strength of statistical cues to word boundaries in context-specific sub-corpora relative to a context-independent analysis of cues to word boundaries, I used a resampling procedure to compare the segmentability of context sub-corpora defined by each of the three approaches to a distribution of random sub-corpora, matched for size for each context sub-corpus. Although my analyses confirmed that context-specific sub-corpora are indeed more repetitive, the data did not support the hypothesis that speech within contexts provides richer information about the statistical dependencies among phonemes than is available when analyzing the same statistical dependencies without respect to context. Alternative hypotheses and future directions to further elucidate this phenomenon are discussed. / 2019-02-17

The ability of students to segment the speech stream into phonemic units and to analyze (make judgments as to same or different) beginning consonant phonemes was assessed at grades kindergarten through third from both high and low socioeconomic groups. Segmentation ability was assessed by the use of a test of actual words in a match-to-sample task, a test of synthetic words requiring a same-different judgment and a task which required deletion of a phoneme from a known word to form a new word. Three prerequisite abilities were also assessed: auditory acuity and understanding of the concepts "same" and "different" with regard to sounds, and "beginning" with regard to sequence of sounds.

The success of tourism, at a destination, is often accredited to the strength of its marketing; yet, the marketing environment is changing at a fast pace where developments in digital technology have had a profound effect on marketing strategies. Furthermore, the increased accessibility of long and short haul travel has resulted in greater competition for tourist visits among destinations. Such changes present a challenge for cold water island destinations with a seasonal tourism product and limited resources for destination marketing. The ability of such destinations to adopt target marketing strategies, using meaningful segmentation criterion, is of great importance for their future success. For cold water islands, it is vital that the promotional message resonates with the target audience, as such, an image segmentation is proposed. Although tourist segmentation is well practiced in tourism research, existing studies focus on socio-demographic or behavioural segmentation. Few studies have conducted image based segmentation, thus, this thesis explores the feasibility of image segmentation in cold water island destinations; using the Isles of Scilly as a case study. In this thesis image segmentation is used to develop a typology of visitors to the Isles of Scilly, and the intrinsic relationships between destination image, motivation, behaviour, evaluation and place attachment are also explored. Due to the difficulties in measuring image, a mixed method approach was adopted and a concurrent triangulation design employed. Quantitative data were collected from 500 ii respondents visiting the Isles of Scilly, by means of a face-to-face questionnaire, and a further 15 in-depth interviews formed the qualitative sample. Quantitative data were analysed using Exploratory Factor Analysis and K-means Cluster Analysis, while qualitative data were analysed using Thematic Content Analysis. The findings of this thesis revealed the feasibility of image segmentation, through the creation of a six-fold typology of visitors to the Isles of Scilly. Both theoretical and practical implications were derived from this study. The most significant theoretical contribution of this research is that offered to the understanding of image segmentation, as this is the first study conducted in the context of cold water islands. Theoretical contributions were also made with regard to the intrinsic relationships between destination image and motivation, behaviour, evaluation and place attachment. While findings of this study agreed with those of past research, valuable contributions are also offered. Notably, this study adds to a body of work relating to the relationships between complex image and motivation, on-site behaviour, evaluation and place attachment. Additionally, this study adds to tourism knowledge, where the role of on-site behaviour in the formation of positive image, and the influence of participation in special interest tourism, on the formation of destination image are identified. Furthermore, practical recommendations are provided in relation to marketing of the Isles of Scilly where lucrative image segments are identified. Finally, through the understanding of destination image, this thesis proposes seasonal marketing campaigns and the development of special interest tourism, with a focus on wildlife, in order to successfully promote and develop tourism in the Isles of Scilly.