In data analysis, data points are usually analyzed based on their relations to other points (e.g., distance or inner product). This kind of relation can be analyzed on the manifold of the data set. Manifold learning is an approach to understand such relations. Various manifold learning methods have been developed and their effectiveness has been demonstrated in many real-world problems in pattern recognition and signal processing. However, most existing manifold learning algorithms only consider one manifold based on one dissimilarity matrix. In practice, multiple measurements may be available, and could be utilized. In pattern recognition systems, data integration has been an important consideration for improved accuracy given multiple measurements. Some data integration algorithms have been proposed to address this issue. These integration algorithms mostly use statistical information from the data set such as uncertainty of each data source, but they do not use the structural information (i.e., the geometric relations between data points). Such a structure is naturally described by a manifold. Even though manifold learning and data integration have been successfully used for data analysis, they have not been considered in a single integrated framework. When we have multiple measurements generated from the same data set and mapped onto different manifolds, those measurements can be integrated using the structural information on these multiple manifolds. Furthermore, we can better understand the structure of the data set by combining multiple measurements in each manifold using data integration techniques. In this dissertation, I present a new concept, manifold integration, a data integration method using the structure of data expressed in multiple manifolds. In order to achieve manifold integration, I formulated the manifold integration concept, and derived three manifold integration algorithms. Experimental results showed the algorithms' effectiveness in classification and dimension reduction. Moreover, for manifold integration, I showed that there are good theoretical and neuroscientific applications. I expect the manifold integration approach to serve as an effective framework for analyzing multimodal data sets on multiple manifolds. Also, I expect that my research on manifold integration will catalyze both manifold learning and data integration research.

Thesis (Ph. D.)--University of Washington, 2003. / Vita. Includes bibliographical references (leaves 134-144).

Thesis (M.S.)--Western Washington University, 2010. / Includes bibliographical references (leaves 30-35). Also issued online.

No description available.

This study examined the relationship between neuropsychological constructs of sensory-motor functioning and cognitive ability constructs in the Cattell-Horn-Carroll (CHC) (Carroll, 1993) theory. Two studies were conducted For the first study, the Dean-Woodcock Sensory Motor Battery (SMB) (Dean & Woodcock, 1999) was administered to 800 individuals. A factor analysis and a confirmatory factor analysis were used to investigate and develop a factor structure of the SMB. Results from this study suggest sensory and motor tests significantly share common variance and a hierarchical, multifactorial model that included a higher-order factor of both sensory and motor tests best fit the data. The second study examined the SMB model, developed in the first study, in relation to the CHC (Cattell-Horn-Carroll) model of cognitive abilities, as measured by the Woodcock-Johnson Revised Tests of Cognitive Abilities (WJ-R) (McGrew, Werder, & Woodcock, 1991). For this study, the SMB and the WJ-R was administered to 411 individuals. A confirmatory model was tested that included the higher-order factor of the SMB as a broad ability within the CHC model. Results from this analysis suggest the higher order factor of the SMB does have a significant relationship with overall measures of cognitive ability of a similar level to other broad abilities in the CHC model, and significantly improves the fit of CHC model. These results support Roberts, Pallier, and Goffs (1999) argument for the inclusion of an additional broad ability in the CHC taxonomy that represents sensory and motor functioning. Additionally, this study provides empirical support for the utility of including neuropsychological tests of sensory and motor functioning in a comprehensive assessment of cognitive abilities (Dean & Woodcock, 1999). The implications for neuropsychological and psychometric assessment are discussed. / Department of Educational Psychology

The main purpose of the present study was to identify sensory-motor deficits caused by closed head injury (CHI) when individuals with CHI are compared to a normal sample. The study also investigated lower-level sensory-motor functioning, such as gait, balance, and coordination and its relation to neurological impairment related to CHI. Additionally, the study determined if age significantly influenced sensory-motor functioning.Archival data was utilized to complete the study. Data was collected from a large, Midwestern neurology clinic (CHI) as well as from a normative sample of individuals with no reported history of neurological impairment. Preliminary analyses were completed to identify outliers. Samples were then randomly selected from the impaired group (CHI) and matched with randomly selected subjects from the normative sample based upon age.Three separate analyses were completed. The first analysis focused on age and if age significantly influences sensory motor functioning. The second analysis was completed using an adult's only sample based upon the results that age significantly influenced sensory-motor performance. Finally, the third analysis utilized all age groups to determine how dramatically age had an impact on distinguishing between individuals with CHI versus a normative sample.Results demonstrated that age had a significant influence on sensory-motor performance. Measures of subcortical and cortical motor function, motor speed, motor coordination and tactile examination were able to accurately classify individuals with head injury from a normative sample to a clinically significant degree (78%). The study argues that the D-WSMB is a reliable and valid measure to utilize when evaluating individuals with CHI. / Department of Educational Psychology

Access to abstract permanently restricted to Ball State community only / Access to thesis permanently restricted to Ball State community only / Department of Educational Psychology

Access to abstract permanently restricted to Ball State community only / Access to thesis permanently restricted to Ball State community only / Department of Educational Psychology

Thesis (M.S.)--Indiana University, 2006. / Includes bibliographical references (leaves 33-34). Also available online (PDF file) by a subscription to the set or by purchasing the individual file.

Thesis (M.S.)--Indiana University, 2006. / Includes bibliographical references (leaves 33-34).