“Vegetal Pattern in Islamic Art†Vegetal pattern‚ one of the major types of ornament‚ is also can be called Arabesque which means “in the Arab fashion†in French. Arabesque is a repetition in Islamic art which is used in many places in Islamic art. Vegetal pattern is used very often in Islamic art‚ because people do not portray images of human. The reason that human portrayals cannot be found as many as vegetal patterns is that Muslims feared to depict the human form‚ since they thought
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Date: 6-Aug-12 Model #: 1180 Product’s Page: www.sunrom.com/p-762.html Speech Recognition System based on HM2007 The speech recognition system is a completely assembled and easy to use programmable speech recognition circuit. Programmable‚ in the sense that you train the words (or vocal utterances) you want the circuit to recognize. This board allows you to experiment with many facets of speech recognition technology. It has 8 bit data out which can be interfaced with any microcontroller for
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DATA Sameer Singh Pattern Analysis and Neural Networks Group Department of Computing University of Exeter UK (s.singh@exeter.ac.uk) ABSTRACT Spiral structures are one of the most difficult patterns to classify. Spiral time series data has a helical movement with time that is both difficult to predict as well as classify. This paper focusses on how structural information about spirals can be useful in providing critical information to a neural network for their recognition. Results are presented
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human computer interaction as the information contained in faces needs to be analyzed for systems to react accordingly. For biometric systems that use faces as non-intrusive input modules‚ it is imperative to locate faces in a scene before any recognition algorithm can be applied. An intelligent visionbased user interface should be able to tell the attention focus of the user (i.e.‚ where the user is looking at) in order to respond accordingly. To detect facial features accurately for applications
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BEIJING INSTITUE OF TECHNOLOGY Course: Pattern Recognition TOPIC: IMAGE SEMGMETATION USING PATTERN RECOGNITION METHOD Student: SOVATANA HOUR ID: 2820120039 Year: 2012-2013 Content 1. Introduction - Image pattern recognition ..............................................................................1 - Image segmentation .............................................................................. 2 2. Relative work to region-based approach on image segmentation 2.1 Feature extraction
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is used to specify and validate the system; (2) A Pattern Recognition Technique is used to classify the telephone users into classes in order to identify if a call does not correspond to the patterns of a specific user; and (3) Distributed Object Technique is used for the implementation of this distributed system (i.e.‚ manager and agents). Keywords: Distributed Management‚ Telecommunication Security‚ Formal Description Technique‚ Pattern Recognition‚ CORBA. 1. INTRODUCTION The security management
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Bloodstain Patterns Function of bloodstain pattern analysis Bloodstain pattern interpretation/analysis has been around for many years but has only really been recognized in the past several decades. This interpretation/analysis is like a very important tool that an investigator or forensic scientist may use to help them better understand what happened or what did not happen in a case where there was bloodshed. Discoverable through the examination of bloodstain pattern The information
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20. What is learning by analogy 21. What is Learning with hidden data . Give Examples. 22. Difference between Learning with complete and learning with hidden data. Unit 5 Pattern Recognition : Introduction‚ Design principles of pattern recognition system‚ Statistical Pattern recognition‚ Parameter estimation methods - Principle Component Analysis (PCA) and Linear Discriminant Analysis (LDA)‚ Classification
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Enhancement Segmentation Technique for Iris Recognition System Based on Daugman’s Integro-Differential Operator Asama Kuder Nsaef Institute of Visual Informatics (IVI) Universiti Kebangsaan Malaysia Bangi‚ Selangor‚ Malaysia osama_ftsm@yahoo.com Azizah Jaafar Institute of Visual Informatics (IVI) Universiti Kebangsaan Malaysia Bangi‚ Selangor‚ Malaysia aj@ftsm.ukm.my Khider Nassif Jassim Faculty of Management and Economics Department of Statistics University of Wasit Al-Kut‚ Iraq khider_st@yahoo
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Pattern recognition is a useful tool for mathematics‚ mathematical visualization‚ and art. After a brief description of Bongard’s methodology in the field of pattern recognition‚ the author introduces the concept of colour modularity and evaluates how it affects pattern recognition classification. Combining Bongard’s methodology and colour modularity‚ the author attains a richer‚ more persuasive dynamic in pattern description and recognition of five- and ten-pointed star polygons.". Keywords: pattern
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