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Efficient use of the sequential computer in real time picture processing applicationsFord, W.S. January 1971 (has links) (PDF)
No description available.
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Distortion modelling for the recognition of line patternsLeung, Ka-chung., 梁嘉聰. January 2011 (has links)
published_or_final_version / Electrical and Electronic Engineering / Doctoral / Doctor of Philosophy
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Accelerated gradient pattern recognition : an application to system identification.Levy, George Samuel January 1968 (has links)
No description available.
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Representations for vision of physical assembliesDunlavey, Michael Robert 05 1900 (has links)
No description available.
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Some applications of generalized inverse to pattern recognitionAl-Alaoui, Mohamad Adnan 12 1900 (has links)
No description available.
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Efficient use of the sequential computer in real time picture processing applications /Ford, W.S. January 1971 (has links) (PDF)
Thesis (M.E.) -- University of Adelaide, Dept. of Electrical Engineering, 1971.
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Recognition of patterns using the frequencies of occurrence of binary wordsBecker, Peter W. January 1968 (has links)
Thesis--Polyteknisk La︠e︡reanstalt, Copenhagen. / Summary in Danish. Bibliography: p. 203-216.
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Accelerated gradient pattern recognition : an application to system identification.Levy, George Samuel January 1968 (has links)
No description available.
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Pattern recognition using Chebychev polynomial discriminant functionsWaid, Rex Adney, January 1968 (has links)
Thesis (Ph. D.)--University of Wisconsin--Madison, 1968. / Typescript. Vita. Description based on print version record. Includes bibliographical references.
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The Discovery of Calendar-Based Mobile Group Patterns in Spatial-Temporal DatabasesLee, Chung-Han 01 August 2006 (has links)
In the past few years, due to the development of the mobile devices and the improvement of database technology, the geometric information has become widely available. Identifying object groups based on spatial-temporal dimension is an emerging research topic. Previous work has incorporating the spatial and temporal information pertaining to moving objects in finding mobile groups. Considering that mobile groups tend to exhibit some calendar-like temporal features, we define a new temporal presentation mechanism called flexible calendar pattern, which allows users to specify the desired calendar patterns at a coarse level. In addition, we developed efficient algorithms for mining mobile groups pertaining some user-specified flexible calendar pattern. The proposed algorithms are evaluated via the synthetic data generated by IBM City Simulator. The results show that our approaches prove to perform more efficiently than other intuitive approaches.
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