Traditional identification methods often depend on the validity of training data set and the rationality of parameter selection, which leads to the decrease of availability. A comprehensive recognition method based on...
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the songket recognition is a challenging task. the SIFT and SURF, which are feature descriptors, are considered as potential features for pattern matching. the Songket is a special pattern originally from Indonesia;th...
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ISBN:
(纸本)9789791421195
the songket recognition is a challenging task. the SIFT and SURF, which are feature descriptors, are considered as potential features for pattern matching. the Songket is a special pattern originally from Indonesia;the Songket Palembang is used in this research. One motif in the Songket Palembang may has several different basic patterns. the matching scores, i.e., distance measure and number of keypoint, are evaluated corresponding withthe SIFT and SURF method. SIFT method has been better than SURF method, but SURF has been extremely faster than SIFT.
this paper reviews the basic principles, physical processes, and most recent demonstrations of optical correlators using dynamic holographic techniques in nonlinear media such as bulk photorefractives (PR), thin multi...
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ISBN:
(纸本)0819415413
this paper reviews the basic principles, physical processes, and most recent demonstrations of optical correlators using dynamic holographic techniques in nonlinear media such as bulk photorefractives (PR), thin multiple quantum wells (MQW), and bacteriorhodopsin (BR) films.
the proceedings contains 162 papers. Topics discussed include patternrecognition, calibration and navigation, shape recovery, stereo system, texture, low level vision, color, motion analysis, image segmentation, face...
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the proceedings contains 162 papers. Topics discussed include patternrecognition, calibration and navigation, shape recovery, stereo system, texture, low level vision, color, motion analysis, image segmentation, face and gesture recognition, curve matching and shape completion, pose and region correspondence, applications in patternrecognition, deformable models, visual learning, geometry, sensors, active vision, representation scheme and stereo and robot vision.
At the heart of Industry 4.0. lies the automation of manufacturing processes and interoperability of corresponding applications, in most cases utilizing Cyber-Physical Systems and Internet of things. Used within diver...
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ISBN:
(纸本)9781665497701
At the heart of Industry 4.0. lies the automation of manufacturing processes and interoperability of corresponding applications, in most cases utilizing Cyber-Physical Systems and Internet of things. Used within diverse industrial areas across the world, these concepts gained more importance in recent years. In the semiconductor industry, continuous improvement of all involved processes is achieved by utilizing these concepts in many different stages of the manufacturing process. this work proposes a machine learning framework that on one hand enhances wafer map classification in the testing stage of semiconductor devices, and on the other hand fulfills the requirements and demands of all involved stakeholders in adopted engineering processes. the core of the proposed system is the Wafer Health Factor, a machine learning framework that detects process deviations in analog wafer test data through patternrecognition. Additional integration of Radon-based features, as well as the use of an ensemble classification framework, boosts model performances in the presented real-world application scenario significantly. Moreover, we also show that the proposed framework performs well on two benchmark data sets from literature, even on small training data sets. We conclude, that the presented framework improves the performance of patternrecognition tasks in real-world applications and thus, enables the automatic and early detection of deviations within semiconductor manufacturing processes.
A common property of a living organism as a non equilibrium dynamic system is the self-organization including the evolution of this self-organized system through distinct consecutive stages. In this article, the prope...
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ISBN:
(纸本)9783319561486;9783319561479
A common property of a living organism as a non equilibrium dynamic system is the self-organization including the evolution of this self-organized system through distinct consecutive stages. In this article, the properties of dynamic self-organization is examined on a primitive model of life - the oscillating Belousov-Zhabotinsky (BZ) reaction. this system is sensitive to the changes of external conditions by dynamic reorganization of chemical waves. the generated patterns bring the information on history of the reaction evolution. We performed the pattern classification using calculation of the point information gain entropy density followed by multivariate statistical analysis. It was proved by numerous experiments that each obtained cluster is related to a unique reaction stage with characteristic concentrations of the reactants. the reliability makes this method promising for application to the recognition of stages in variety of complex systems. the results obtained via visual inspection of 6 parallel image series of the BZ reaction together withtheir statistical analysis approximate cell physiology during development and differentiation of tissues - a small change in the initial conditions leads to a different development of the cell population. this finding also explains a lower reproducibility of measurements of biological systems.
the proceedings contain 70 papers. the topics discussed include: negative differential resistance of the discharge plasma through fractal space-time theory;chaotic attractors of control systems;pattern formation in vo...
the proceedings contain 70 papers. the topics discussed include: negative differential resistance of the discharge plasma through fractal space-time theory;chaotic attractors of control systems;pattern formation in volumetrically heated fluids;cryptography with chaos;and ideal chaotic patternrecognition using the modified Adachi neural network.
Adaptive Resonance theory (ART) represents a family of neural networks each having its own unique characteristics. this paper demonstrates the capability of ART2-A network in performing the challenging task of pattern...
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作者：
Cai, YiJilin Univ
Sch Foreign Language Educ Changchun 130000 Jilin Peoples R China
this paper designs an intelligent algorithm in college English writing based on the lexical cohesion method of perceptual patternrecognition algorithm. First, it analyzes the importance of developing an intelligent E...
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ISBN:
(数字)9781665408370
ISBN:
(纸本)9781665408387;9781665408370
this paper designs an intelligent algorithm in college English writing based on the lexical cohesion method of perceptual patternrecognition algorithm. First, it analyzes the importance of developing an intelligent English writing training system. the introduction of B/S architecture in the hardware design process makes up for the C/S mode. the main research content is proposed, and then the Entity Framework framework involved in the system is discussed, and the perceptual patternrecognition algorithm is introduced in the lexical cohesion module and software part, and the focus is on sentence segmentation, word segmentation, part-of-speech tagging, and phrase segmentation., spelling proofreading, grammar checking and other natural language processing methods, to deal withthe feature extraction and classification of English writing errors.
In the field of rehabilitation medicine, the development of upper limb exoskeleton rehabilitation robot is of great significance for reducing the pressure of medical workers and improving the efficiency of patients...
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