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Pattern Recognition Algorithms

BioPatRec: A modular research platform for the control of artificial limbs based on pattern recognition algorithms

BioPatRec: A modular research platform for the control of artificial limbs based on pattern recognition algorithms

... Control Algorithms for Prosthetics System (CAPS), which has been used to pioneer tests for real-time evaluation ...in pattern recognition which is neither open- source, nor proprietary but publicly ...

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Synergetic image recognition with applications to pose estimation

Synergetic image recognition with applications to pose estimation

... A review of the current range of synergetic pattern recognition systems leads to a recognition of two major weaknesses in the current crop of synergetic pattern recognition algorithms, s[r] ...

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Comparison of Classification Algorithms on Dataset of Sensor Based Wireless Gait Analysis System

Comparison of Classification Algorithms on Dataset of Sensor Based Wireless Gait Analysis System

... The pattern recognition algorithms compared for the classification success are support vector machines, k- nearest neighbour and classification tree ...the pattern information through nodes, ...

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Rajan Transform and its uses in Pattern Recognition

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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An Introduction to Pattern Recognition   Michael Alder pdf

An Introduction to Pattern Recognition Michael Alder pdf

... This is not essentially different from measuring intersections with scan lines, except that the mask holes don't have to be lines, they can be any shape. Nor is it very different in principle from Exercise 1.6.3, where ...

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The ICA Based Soft-Computing Algorithms for Signal Cleaning and Feature Selection in (for) Automated ECG Pattern Recognition

The ICA Based Soft-Computing Algorithms for Signal Cleaning and Feature Selection in (for) Automated ECG Pattern Recognition

... This paper has proposed and validated a method and algorithms for ECG arrhythmia classification using features extracted with ICA. A new feature set has been developed, it includes morphological ECG features along ...

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Pattern Recognition Approaches inspired by Artificial Immune System

Pattern Recognition Approaches inspired by Artificial Immune System

... artificial recognition ball (ARB) to represent a number of similar B- cells (not a single B ...strongest pattern in the data set to emerge (Knight2001) ...The recognition of cell receptors by other ...

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A New Top Down Context Free Parsing for Syntactic Pattern Recognition

A New Top Down Context Free Parsing for Syntactic Pattern Recognition

... syntactic pattern recognition method and formal grammars are described and then has been investigated one of the techniques in syntactic pattern recognition called top –down tabular parser ...

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Protein Fold Recognition Algorithms-A General Survey

Protein Fold Recognition Algorithms-A General Survey

... evolutionary algorithms, genetic algorithms, Support Vector Machine (SVM), Neural networks, Bayesian Network, ...fold recognition for long pattern protein sequences is a great confrontation ...

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Bifurcation and Pattern Recognition

Bifurcation and Pattern Recognition

... the recognition process should yield a co- herent state, we introduce a re-coherence formalism which is associated with some recognition device (like- wise the human ...

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Similarity and Pattern Recognition

Similarity and Pattern Recognition

... Similarities or dissimilarities play a central role in the pattern recognition, implicitly or explicitly. For example, the k-nearest neighbor rule uses the Euclidean distance to measure similarities. Most ...

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Feature Extraction Of Plant Leaf Disease Based On Intensity Permanence

Feature Extraction Of Plant Leaf Disease Based On Intensity Permanence

... in pattern recognition. The pattern recognition depends on the features selected for acknowledgement by ...the pattern of the disease indicators knows by the intensity of each disease ...

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Speaker Recognition System and Algorithms

Speaker Recognition System and Algorithms

... speaker recognition system (SRS) using Mel-Frequency Cepstrum Coefficients (MFCC), Linear Prediction writing (LPC) as feature extraction techniques and Vector quantisation (VQ) as speaker classification technique ...

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OpenCV Algorithms for facial recognition

OpenCV Algorithms for facial recognition

... may, its conduct was diverse in the second stage. Some of the time with 20 pictures, the outcomes are better; however with 40 pictures the outcomes are equivalent or more terrible. This calculation is more often than not ...

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ANALYSIS OF FACE RECOGNITION USING MULTI- ALGORITHMIC CONCEPTS

ANALYSIS OF FACE RECOGNITION USING MULTI- ALGORITHMIC CONCEPTS

... Template matching is the process of positioning the location of a sub image inside a larger image. The larger image is called the search area and the sub-image is called the template. The template matching process ...

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Dorsal Palm Vein Pattern Based Recognition System

Dorsal Palm Vein Pattern Based Recognition System

... more reliable than the ones that are currently in use. The palm vein hardware setup that we have made has a major advantage being that it is cost effective. The total cost of the hardware amounts to a total of about ...

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CV dwlee(new)

CV dwlee(new)

... - Pattern Recognition Letter, International Journal of Pattern Recognition and Artificial Intelli- gence, IE Interface, International Joint Conference on Neural Networks, International J[r] ...

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Injury affects coelomic fluid proteome of the common starfish, Asterias rubens

Injury affects coelomic fluid proteome of the common starfish, Asterias rubens

... hindering recognition of injury-specific physiological ...non-self- recognition; (2) regulation of proteolysis by a rich repertoire of peptidase inhibitors; (3) activation of proteolysis and degradation of ...

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Face Recognition

Face Recognition

... Face recognition is one kind of biometric technology that can be used to monitor people without their ...face recognition, when in fact dynamic features are those which are required for characterizing the ...

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A Survey of Star Recognition Algorithms

A Survey of Star Recognition Algorithms

... In 2008 J Xie et al. [21] use the surrounding star’s distributioncharacteristics ofreference star to complete the star recognition with statistical methods. The algorithm first calculates the angular distances of ...

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