Global ETD Search

111	Combining Different Feature Weighting Methods for Case Based Reasoning Lu, Ling, Li, Bofeng January 2014 (has links) No description available. Case based reasoning Fusion algorithm Feature weights
112	Principal features based texture classification using artificial neural networks Shang, Changjing January 1995 (has links) No description available. 621.3994
113	Voice and lip based speaker verification Pandit, Medha January 2000 (has links) No description available. 621.3994
114	The contemporary history of press commentaries on the English language in Hong Kong (1 January 1997 to 30 June 1997) / Wong, Lai-man, David. January 1997 (has links) Thesis (M.A.)--University of Hong Kong, 1997. / Includes bibliographical references (leaf 262-263).
115	The representation of motherhood and mother-daughter relationships in films / Lee, Yuen-kwan. January 1900 (has links) Thesis (M.A.)--University of Hong Kong, 2000. / Includes bibliographical references (leaves 55-57).
116	The contemporary history of press commentaries on the English language in Hong Kong (1 January 1997 to 30 June 1997) Wong, Lai-man, David. January 1997 (has links) Thesis (M.A.)--University of Hong Kong, 1997. / Includes bibliographical references (leaf 262-263). Also available in print.
117	The representation of motherhood and mother-daughter relationships in films Lee, Yuen-kwan. January 1900 (has links) Thesis (M.A.)--University of Hong Kong, 2000. / Includes bibliographical references (leaves 55-57). Also available in print.
118	Structure oriented exchange of product model data Baumann, Richard A. Unknown Date (has links) (PDF) Techn. University, Diss., 2004--Berlin.
119	Combining Object and Feature Dynamics in Probabilistic Tracking Taycher, Leonid, Fisher III, John W., Darrell, Trevor 02 March 2005 (has links) Objects can exhibit different dynamics at different scales, a property that isoftenexploited by visual tracking algorithms. A local dynamicmodel is typically used to extract image features that are then used as inputsto a system for tracking the entire object using a global dynamic model.Approximate local dynamicsmay be brittle---point trackers drift due to image noise and adaptivebackground models adapt to foreground objects that becomestationary---but constraints from the global model can make them more robust.We propose a probabilistic framework for incorporating globaldynamics knowledge into the local feature extraction processes.A global tracking algorithm can beformulated as a generative model and used to predict feature values thatinfluence the observation process of thefeature extractor. We combine such models in a multichain graphicalmodel framework.We show the utility of our framework for improving feature tracking and thusshapeand motion estimates in a batch factorization algorithm.We also propose an approximate filtering algorithm appropriate for onlineapplications, and demonstrate its application to problems such as backgroundsubtraction, structure from motion and articulated body tracking. AI graphical models feature extraction tracking
120	Optical Imaging and Computer Vision Technology for Corn Quality Measurement Fang, Jian 01 December 2011 (has links) The official U.S. standards for corn have been available for almost one hundred years. Corn grading system has been gradually updated over the years. In this thesis, we investigated a fast corn grading system, which includes the mechanical part and the computer recognition part. The mechanical system can deliver the corn kernels onto the display plate. For the computer recognition algorithms, we extracted common features from each corn kernel, and classified them to measure the grain quality. Corn Feature Extraction Grain Quality Segmentation

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