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Imaging, Vision, and Pattern Recognition

the original work is properly cited. Pattern recognition, machine vision, and imaging are a set of techniques and methods belonging to machine learning. They focus on approach linked to recognition ... of patterns, regularities in data, computer vision, and image processing. Pattern recognition, machine vision, and imaging share other topics such as artificial intelligence and learning techniques

Imaging, Vision, and Pattern Recognition

the original work is properly cited. Pattern recognition, machine vision, and imaging are a set of techniques and methods belonging to machine learning. They focus on approach linked to recognition ... of patterns, regularities in data, computer vision, and image processing. Pattern recognition, machine vision, and imaging share other topics such as artificial intelligence and learning techniques

Personalized Behavior Pattern Recognition and Unusual Event Detection for Mobile Users

Mobile Information Systems Personalized behavior pattern recognition and unusual event detection for mobile users Junho Ahn 0 Richard Han 0 0 Department of Computer Science, University of Colorado ... Behavior classification Visited location Stationary, Walking, Running Low level noise, Talking, Music, Emotional voice Pattern recognition Frequent, Infrequent, New location Activity pattern Audio

Terrorist Group Behavior Prediction by Wavelet Transform-Based Pattern Recognition

, and the pattern recognition approach to investigate the dynamics and eventually predict the attack behavior of terrorist group. Our ideas rely on social network analysis to model the terrorist group and ... terrorist activities in the future could be tracked by analyzing the characteristics of previous events [24]. Third, the machine leaning and pattern recognition approach can be used to predict the future

The Intuitionistic Fuzzy Linguistic Cosine Similarity Measure and Its Application in Pattern Recognition

-valued intuitionistic fuzzy linguistic term sets to pattern recognition and medical diagnosis, and the existing cosine similarity measures are compared with the proposed cosine similarity measures by the ... an effective tool to solve the decision-making problems, pattern recognition, and fuzzy inference [2–4]. Since the fuzzy set was put forward, it was extended in different aspects. One of the

Development of a computer-aided tool for the pattern recognition of facial features in diagnosing Turner syndrome: comparison of diagnostic accuracy with clinical workers

develop a computer-assisted tool for the pattern recognition of facial features for diagnosing Turner syndrome (TS). Photographs of 54 patients with TS and 158 female controls were collected from July 2016 ... pattern recognition of facial features has also been incorporated into the assisted diagnosis of genetic syndromes and endocrine disorders with dysmorphic facial patterns. Consequently, facial image

Foreword to the special issue on recent advances on pattern recognition and artificial intelligence

with pattern recognition techniques, to build learning models that solve complicated problems in different fields. As we know, pattern recognition has its roots in artificial intelligence, engineering ... and statistics. It concerns with the problems of identification and recognition of patterns and regularities in data. Pattern recognition is often considered as a branch of machine learning, and in some

Design of Fractal Features-Based Partial Discharge Pattern Recognition using Multi Support Vector Machine Method

can be performed. Therefore PD pattern recognition system is very important on PD diagnostic system to recognize the PD pattern and determine the level of hazard that occurs in specimen object or high

The Pandora multi-algorithm approach to automated pattern recognition of cosmic-ray muon and neutrino events in the MicroBooNE detector

The development and operation of liquid-argon time-projection chambers for neutrino physics has created a need for new approaches to pattern recognition in order to fully exploit the imaging ... aid the design and implementation of pattern-recognition algorithms. It promotes the use of a multi-algorithm approach to pattern recognition, in which individual algorithms each address a specific task

Correction to: Pattern recognition and pharmacokinetic methods on DCE-MRI data for tumor hypoxia mapping in sarcoma

The article Pattern recognition and pharmacokinetic methods on DCE-MRI data for tumor hypoxia mapping in sarcoma, written by M. Venianaki, O. Salvetti, E. de Bree, T. Maris, A. Karantanas, E

RIG-I: a multifunctional protein beyond a pattern recognition receptor

It was widely known that retinoic acid inducible gene I (RIG-I) functions as a cytosolic pattern recognition receptor that initiates innate antiviral immunity by detecting exogenous viral RNAs ... recognition receptor. immunity; cancer - RIG-I is a highly important cytosolic pattern recognition receptor (PRR) involved in sensing RNA virus infection and inducing interferon (IFN) production. This gene

A novel grey–fuzzy–Markov and pattern recognition model for industrial accident forecasting

pattern recognition (GFMAPR) model has four stages: fuzzification, smoothening, defuzzification and whitenisation. The results of application of the developed novel model signify that forecasting could be ... ; Pattern recognition; Accidents - Department of Mechanical Engineering, Faculty of Engineering and Technology, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria Department of

Foreword to the special issue on pattern recognition and image analysis

Faculty of Engineering, University of Porto , Porto , Portugal The papers included in this special issue provide a snapshot of image analysis and pattern recognition research today. They are the very best ... of the Seventh Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2015), held on 17-19 June, 2015, in Santiago de Compostela, Spain. The IbPRIA is an international conference co

Extracting time-frequency feature of single-channel vastus medialis EMG signals for knee exercise pattern recognition

analysis in EMG feature extraction for pattern recognition. However, its application to typical knee exercises when using only a single EMG channel is limited. In this study, three types of knee exercises ... -domain features, MAV, RMS, iEMG and ZC, have means significantly different. Thus, those are used for the analysis of time features in relation to knee exercise pattern recognition. Secondly, Mean Frequency

West Nile Virus and Pattern Recognition Receptors

encephalitis. There is no antiviral or vaccine approved so far to prevent WNV disease, therefore research to understand immune pathology is very important. Pattern Recognition Receptors (PRR) are proteins that ... of my training, I will gain understanding of the research conducted in infectious disease area and will also learn several important techniques. Inflammation; Recognition

Plant pattern-recognition receptors controlling innate immunity

recognition of pathogen-associated molecular patterns (PAMPs) and effectors encoded by pathogens. PAMPs can be detected by surface-localized pattern-recognition receptors (PRRs) that are receptor kinases (RKs ... 78 , 31 - 43 . Boller , T. , and Felix , G. ( 2009 ). A renaissance of elicitors: perception of microbe-associated molecular patterns and danger signals by pattern-recognition receptors . Annu Rev

Erratum: Electroconvulsive therapy-induced brain functional connectivity predicts therapeutic efficacy in patients with schizophrenia: a multivariate pattern recognition study

100049 , China 1 National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences , Beijing 100190 , China 2 Institute of Mental Health, National Clinical Research Center

Time-Shared Twin Memristor Crossbar Reducing the Number of Arrays by Half for Pattern Recognition

In this paper, we propose a new time-shared twin memristor crossbar for pattern-recognition applications. By sharing two memristor arrays at different time, the number of memristor arrays can be ... though the noise level of each image is varied from −10 to +10 dB. Time-shared twin memristor crossbar; Twin memristor crossbar; Pattern recognition - Background Memristor crossbars have been studied

Applications of Cluster Analysis and Pattern Recognition for Typhoon Hourly Rainfall Forecast

considered to build an all-purpose forecast model. By integrating techniques of cluster analysis and pattern recognition, present proposed rainfall forecasting model is tested using historical data of Tamsui ... unsupervised pattern recognition method, which has powerful ability of fault tolerance, is applied. The clustered construction can identify the coordinate data from the remainder data even if the input data are