two class pattern recognition problem
Identity authentication using improved online signature verification method
... We present a system for online handwritten signature verification, approaching the problem as a two-class pattern recognition problem. A test signatureÕs authenticity is ...
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Artificial Intelligence Based Bank Cheque Signature Verification System
... signature recognition and verification problem is put into two major classes: (i) online signature recognition and verification systems (SRVS) and (ii) offline ...the pattern ...
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A New Top Down Context Free Parsing for Syntactic Pattern Recognition
... Syntactic pattern recognition worries the difficult of determining whether a string xbe appropriate to a language L(G) or not,if X is not deformed,this is called a recognition or a parsing ...The ...
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Deep Binary Representation Learning for Single/Cross-Modal Data Retrieval
... The image retrieval mean-Average Precision (mAP) [128] results are provided in Table 3.1, which gives a brief insight of binary encoding capability. A full definition of mAP is provided in Appendix A. In general, DVB ...
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Text Classification based on Lucene and LibSVM / LibLinear. Berlin Buzzwords, June 4th, 2012, Dr. Christoph Goller, IntraFind Software AG
... Textclassification based on Lucene, LibSVM & LibLinear 6 Documents with Topic/ Class Labels Tokenizer / Analyzer Feature Extraction/ Selection Pattern Recognition Method[r] ...
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STUDY ON ENERGY ANALYSIS OF HOPFIELD NETWORK
... of pattern recognition has been renewed recently due to emerging applications which are not only challenging but also computationally more ...a pattern, ...
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Feature Extraction Of Plant Leaf Disease Based On Intensity Permanence
... Leaf is one of the main organs of plant. Leaf features can be used to classify their category and living status. Feature extraction of plant leaf is useful to research on plant and leadership of agriculture and forestry ...
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Breast state improvement by using the lymphatic drainage disposable bra pads
... applied two rigorous methods (ultrasound elasticity measurement and pattern recognition of nipples position) to estimate the effect on the breast state exerted by the bra pads manufactured by BAE ...
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Score Level Fusion Based Approach for Water Leak Detection in Infrared Images
... Currently machine learning is used in many applications which including computer vision [29-34], bioinformatics [35-41], brain– machine interfaces [42-47], medical diagnosis [48-53], natural language processing [54-59], ...
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Pattern Recognition based Lexi-Search Approach to the Variant Multi- Dimensional Assignment Problem
... Assignment Problem with cost minimization is ...programming problem. The problem is then solved by Lexi-Search Algorithm based on Pattern Recognition ...assignment problem and ...
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The central role of memory in expert management intuition
... conceptual-based understanding. Empirical evidence demonstrates that experts do not approach problems in the same way as novices. In physics for example, it has been shown that the expert solves problems at an abstract ...
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Application of Support Vector Machines to Fault Diagnosis and Automated Repair
... the class y will be the repair action carried ...with two classes (repair actions), it is easy to generalise this to the multi-class ...one class from all the ...that class) with the ...
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Traffic Pattern Scheduling in Vehicular Ad-hoc Network
... The main objective of ATB is to exchange information in knowledge bases by sending beacons as frequently as possible, but to maintain a congestion- free wireless channel. ATB achieves this by employing two ...
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A big data MapReduce framework for fault diagnosis in cloud-based manufacturing
... The growing implementation of lean and six sigma programs has made a significant impact on the manufacturing industries in the last two decades. The manufacturers have witnessed tremendous improvements in the ...
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An Introduction to Pattern Recognition Michael Alder pdf
... are two levels of `data', the first is the set of points in , and the second is the distribution and density of this set which may be described by a probabilistic ...
561
Randomized Trees for Real-Time Keypoint Recognition
... In previous work [8], we used a K-mean plus Nearest Neighbor classifier to validate our approach, mostly be- cause it was simple to implement. It has proved effective but still too slow for real-time use. Here, we ...
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Automated target tracking and recognition using coupled view and identity manifolds for shape representation
... ATR problem are man- made ground vehicles which share some degree of simi- larity with extreme disparity ...same class or those with similar shapes to stay closer on the identity manifold compared with ...
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Bifurcation and Pattern Recognition
... mainly two physical versions for screening the same image: The frequent, for which the image emits mainly incoherent photons with a recognizable ...item recognition such as a known ...
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Similarity and Pattern Recognition
... Pre-Processing and Training Data Set Not all 41 features are significant in the classification task. The traditional statistical test of the equality of two dis- tributions is used in this process. We select an ...
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The characters recognition method of license plate based on LSSVM
... Characters Recognition of the license plate ...the recognition classifier is feasible. And it has the higher recognition accuracy rate and the recognition ...character recognition speed ...
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