Pattern Recognition
Similarity and Pattern Recognition
... Pattern recognition is about guessing or predicting the unknown nature of an observation, a discrete quantity such as black or white, abnormal or normal, one or zero, sick or healthy, real or ...
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Pattern Recognition for Discrimination of Dyslipidemic States
... Cluster 6 is a combination of controls with cholesterol over 200 mg/dL. Cluster 7 is a cluster of samples with cholesterol between 193 and 240 mg/dL, statin treated patients, controls, diet induce d ...
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Review on Multiple Classifier System in Pattern Recognition
... in pattern recognition. Pattern recognition system build in three steps ...different pattern recognition applications such as emotion recognition, character ...
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APRT – Another Pattern Recognition Tool
... Another Pattern Recognition Tool is used to recover patterns in Java ...independent pattern definitions means that it can be re- targeted to work with other object-oriented ...
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PD pattern recognition using ANFIS
... Abstract- An application of an adaptive neuro-fuzzy inference system (ANFIS) has been investigated for partial discharge (PD) pattern recognition. The proposed classifier was used to discriminate between ...
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(ANN), pattern recognition, LPC/Cepstrum
... Artificial Neural Networks (ANN) are widely known these days and used in many fields as signal processing, pattern recognition, medicine, and business. Basically, an ANN simulates the behavior of the ...
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Nonlinear modal analysis using pattern recognition
... The main objective of nonlinear modal analysis is to formulate a mathematical model of a nonlinear dynamical structure based on observations of input/output data from the dynamical system. Most theories regarding ...
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Pattern Recognition Using Associative Memories
... Binary correlation matrix memories (CMMs) are a type of artificial neural network, specifi- cally they are associative memories. They have been shown to have a high capacity, storing a large number of associations ...
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Rajan Transform and its uses in Pattern Recognition
... speed pattern recognition algorithms like contour detection, thinning, corners detection, lines detection, curves detection, and detection of isolated points in a given grey or colour ...
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Pattern Recognition for Conditionally Independent Data
... Another approach is taken in (Helmbold, Long, 1991; Bartlett, Ben-David, Kulkarni, 1996) where the PAC model is generalised to allow concepts changing over time. Here the methodology is proposed to track time series ...
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Pattern Recognition by Hierarchical Temporal Memory
... many pattern recognition applications, probabilistic or fuzzy clustering, such as fuzzy-k-means [33] or Expectation-Maximization [34] is preferred to exclusive ...
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Pattern Recognition with Slow Feature Analysis
... of pattern recognition algorithms, like for example a more problem-specific preprocessing of the patterns, boosting techniques, or mixture of experts with other algorithms (Bishop, 1995; LeCun et ...
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Pattern Recognition Analysis of MR Spectra
... The need for multivariate analysis of magnetic resonance spectroscopy (MRS) data was recognized about 20 years ago, when it became evident that spectral patterns were characteristic of some diseases. Despite this, there ...
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A Fuzzy Reasoning Technique for Pattern Recognition
... Pattern recognition (PR) find its applications in most of the engineering and medical field like automatic image recognition, document processing, medical diagnosis, biomedicine, remote sensing, ...
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A Stochastic Algorithm for Feature Selection in Pattern Recognition
... We introduce a new model addressing feature selection from a large dictionary of variables that can be computed from a signal or an image. Features are extracted according to an efficiency criterion, on the basis of ...
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Algorithms for Hardware Based Pattern Recognition
... Image retrieval, texture analysis and optical character recog- nition, and general inspection tasks are of main interest in the field of image processing and pattern recognition. Meth- ods which operate ...
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Activation of host pattern recognition receptors by viruses
... Viral recognition by the host innate immune system has become an exciting and growing area of research focus in recent ...multiple pattern recognition receptor (PRR) families, including Toll-like ...
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MEMBRAIN NEURAL NETWORK FOR VISUAL PATTERN RECOGNITION
... er), pattern recognition (radar systems, face iden- tification, object recognition and more), sequence recognition (gesture, speech, handwritten text recognition), medical diagnosis, ...
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A Detailed Anatomy of Pattern Recognition
... as pattern recognition. Pattern Recognition provides the alternatives to a lot of dilemmas that fall under the division of either recognition or categorizing, such as speech ...
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Vein Pattern Recognition Using ROI Extraction
... iris recognition might leave very little demand for alternative ...vein-pattern recognition technology, with its own distinctive options and benefits, ...
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