Pattern recognition
Pattern recognition and simulation in ecology
... processes. Pattern recognition is an important step to reveal the complicated relationship between ecological patterns and ...patterns recognition, and computer simulation, an international workshop ...
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Non-supervised pattern recognition methods: exploring chemometrical procedures for evaluating analytical data.
... NON-SUPERVISED PATTERN RECOGNITION METHODS: EXPLORING CHEMOMETRICAL PROCEDURES FOR EVALUATING ANALYTICAL ...for pattern recognition were explored to construct a dendrogram, score and loading ...
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Quantitative MRI data in Multiple Sclerosis patients: a pattern recognition study
... using pattern recognition, a subtopic of machine learning which is in turn a subfield of artificial ...of pattern recognition have gained space in the study of MS, but focused on the lesion’s ...
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MRI pattern recognition in multiple sclerosis normal-appearing brain areas.
... the pattern structure of selected ...the pattern recognition approach to identify disease indicating information from brain tissue characteristics ‘invisible’ to the human ...
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Isolated Malay Digit Recognition Using Pattern Recognition Fusion of Dynamic Time Warping and Hidden Markov Models
... speech recognition algorithm for Malay digits using MFCC vectors to provide an estimate of the vocal tract ...two recognition algorithms ...the pattern recognition outputs of DTW and ...on ...
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Application of Simulated Annealing for Color Pattern Recognition to the Optoelectronic Correlator with Liquid Crystal Device
... In 1964, VanderLugt proposed the concept of matching spatial filter device, called VanderLugt correlator (VLC) [1]. The optical correlator only identified graphics with shift invariance, but not rotation invariance. In ...
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Neural networks approach v/s Algorithmic approach : A study through pattern recognition
... stimulus pattern is presented to the first stage of the forward paths, the input layer FA, which consists of a two-dimensional array of receptor ...the recognition layer ...the pattern ...
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Object & bridge detection of gis images using pattern recognition and knowledge base
... Pattern recognition is used to find most likely features from the input ...for pattern recognition is done in many areas in which study of GIS images is also one of the interesting ...
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COMPARISON ANALYSIS OF WEB USAGE MINING USING PATTERN RECOGNITION TECHNIQUES
... Pattern recognition is defined as the act of taking in raw data and making an action based on the "category" of the pattern [12] or it can be defined as the process for observing patterns of ...
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THE INNATE IMMUNITY IN BOVINE MASTITIS: THE ROLE OF PATTERN-RECOGNITION RECEPTORS
... Mastitis is the most costly disease for dairy farmers and industry, which are mainly caused by the entry of bacteria to the teat canal. Shortly after the entry of the invading bacteria, the innate immunity recognizes the ...
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Pattern Recognition Approach in Multidimensional Databases: Application to the Global Terrorism Database
... Abstract —This paper presents a pattern recognition approach in multidimensional databases. The approach is based on a clustering method using the distance measurement between a reference profile and the ...
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Stratigraphic Interpretation of Well-Log data of the Athabasca Oil Sands Alberta Canada through Pattern recognition and Artificial Intelligence
... to Pattern recognition and Artificial Intelligence, all leading towards an automated extraction of information from ...of pattern recognition and artificial intelligence in an attempt to ...
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Damage detection in a benchmark structure using AR-ARX models and statistical pattern recognition
... A different technique proposed by Bodeux and Golinval (2001) uses an autoregressive moving average vector (ARMAV) model. The difference between this approach and the ones previously described is that the first uses the ...
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Feature-based decision rules for control charts pattern recognition: A comparison between CART and QUEST algorithm
... chart pattern (CCP) recognition can act as a problem identification tool in any manufacturing ...particular pattern has been identified by the use of relevant shape ...better recognition ...
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Pattern Recognition Technique for PAD Inspection using Chain-Code-Discrete Fourier Transform and Signal Correlation
... recognize pattern for inspecting PAD, which is an important part in Hard Disk Drive (HDD) component and IC ...other pattern recognition techniques, such as full template matching, coarse to fine ...
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Metabolomic analysis of diet-induced type 2 diabetes using UPLC/MS integrated with pattern recognition approach.
... with pattern recognition approaches to discover differentiating metabolites, to characterize and explore metabolic pathway disruption in an experimental model for high-fat-diet induced ...
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Diagnostic Support for Selected Paediatric Pulmonary Diseases Using Answer-Pattern Recognition in Questionnaires Based on Combined Data Mining Applications--A Monocentric Observational Pilot Study.
... Today there is often significant diagnostic delay, missed diagnoses, incorrect treatments and unnecessary tests for patients with chronic cough [2]: For instance, patients with PCD can have delays of up to 14 years from ...
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Pattern Recognition-Based Environment Identification for Robust Wireless Devices Positioning
... machine-learning pattern- recognition algorithm to identify the surrounding environment from the characteristics of the multipath reflected ...and pattern classification functionalities to identify ...
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Lizard Learning Algorithm for Invariant Pattern Recognition
... HONN architecture: The HONN (Higher Order Neural Network) [7-9] out performs single order multi layered networks. The HONN requires application of learning pattern only once. Hence its response is faster. They are ...
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Signal processing approach for breath prediction pattern recognition
... prediction pattern recogni- tion is proposed and further analyses are ...prediction pattern recognition several different algorithms have been ...
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