Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 10 of 10 for “"exemplar-based"”.
-
A study and development of Bayesian exemplar based models
… pastexperience consists of stereotypes and exemplars that depict common situations.In order for a computer to reason in a similar way, the identification andrepresentation of exemplars is required. This research aims to investigate anddevelop a new model, called FReBE, that uses Family …
-
Inductive Programming--the Exposition of a Theoretical Model, and a Description of the Development and Trial of an Exemplar Based on That Model
Made available in DSpace on 2014-12-04T17:35:08Z (GMT). No. of bitstreams: 1 6402881.pdf: 3227679 bytes, checksum: 3a39b35f569e8af18ca639850b7f8af0 (MD5) Previous issue date: 1963
-
Connectionist Modelling of Category Learning
… is identified with respect to the ability of exemplar-based connectionist models of category learning to offer accounts of learning about stimuli with variable dimensionality. Models which may simulate these tasks, such as the configural-cue network (Gluck & Bower, 1988b), appear to be unable …
-
Bayesian cluster validation
We propose a novel framework based on Bayesian principles for validating clusterings and present efficient algorithms for use with centroid or exemplar based clustering solutions. Our framework treats the data as fixed and introduces perturbations into the clustering procedure. In our algorithms, …
-
Single view object completion
… The method described in this paper is an exemplar based approach to fully au- tomated reconstruction of a large variety of object classes using only a single depth image. The approach has three major components: retrieving a similar object, fitting the matched object to the query point …
-
Data Clustering And Visualization Through Matrix Factorization
… groupings or clusters in multidimensional data based on perceived similarities among the patterns. The purpose of clustering is to extract useful information</p> <p>from unlabeled data.</p> <p>In order to present the extracted useful knowledge obtained by clustering in a meaningful way, data …
-
Speech enhancement for real-time applications
Segmental exemplar-based speech enhancement algorithms are promising for real-world applications as they can function well without noise training, meaning they can easily generalize to real-world applications. They are, however, typically slow due to needing to search through a corpus that is …
-
Complex data analytics via sparse, low-rank matrix approximation
… we have achieved the following: 1) we develop Exemplar-based low-rank sparse Matrix Decomposition (EMD), a novel method for fast clustering large-scale data by incorporating low-rank approximations into matrix decomposition-based clustering; 2) we propose ECKF, a general model for large-scale …
-
Automatic identification of representative content on Twitter
… evaluate a large scale data analytics framework, based on recent advances in deep neural networks, for identifying and analyzing election- related conversation on Twitter on a continuous, longitudinal basis in order to identify representative tweets across prominent election issues. The framework …
-
Multi-Level Learning Approaches for Medical Image Understanding and Computer-aided Detection and Diagnosis
… This thesis presents two multi-level learning-based approaches for medical image understanding with applications of CAD/CADx. The so-called "multi-level learning strategy" relies on that supervised and unsupervised statistical learning techniques are utilized to hierarchically model and analyze …