Advanced search    

Search: Pattern Recognition

810,904 papers found. Showing first 1,000 results.
Use AND, OR, NOT, +word, -word, "long phrase", (parentheses) to fine-tune your search.

Automatic classification of pediatric pneumonia based on lung ultrasound pattern recognition

limitations: it is operator-dependent, and it needs to be carried out and interpreted by trained personnel. Pattern recognition and image analysis is a potential tool to enable automatic diagnosis of pneumonia

EMG pattern recognition compared to foot control of the DEKA Arm

Introduction EMG pattern recognition control (EMG-PR) is a promising option for control of upper limb prostheses with multiple degrees of freedom (DOF). The purposes of this study were to 1) evaluate ... of America, 7 VA NY Health Harbor System , New York, New York , United States of America 1 Editor: Jacobus P. van Wouwe, TNO , NETHERLANDS EMG pattern recognition control (EMG-PR) is a promising

Pattern Recognition Software and Techniques for Biological Image Analysis

quantitative imaging assays for routine use. Here, we provide a brief overview of the technologies behind pattern recognition and its use in computer vision for biological and biomedical imaging. We list ... their application to the narrow set of imaging methods for which they were designed. One of the approaches to address these limitations is pattern recognition, which was originally developed for remote

Pattern recognition using chaotic neural networks

Pattern recognition by chaotic neural networks is studied using a hyperchaotic neural network as model. Virtual basins of attraction are introduced around unstable periodic orbits which are then used ... periodic orbits which are then used as patterns. Search for periodic orbits in dynamical systems is treated as a process of pattern recognition. The role of synapses on patterns in chaotic networks is

Label-free classification of cells based on supervised machine learning of subcellular structures

It is demonstrated that cells can be classified by pattern recognition of the subcellular structure of non-stained live cells, and the pattern recognition was performed by machine learning. Human ... task in computer vision, pattern recognition has been the mosttopical area in fields such as autonomous cars and security. In these fields, patterns on target objects are described in certain manners

ALPK1: a pattern recognition receptor for bacterial ADP-heptose

conserved signatures present in microbes. These receptors form the group known as pattern recognition receptors (PRRs),1 which includes the nucleotide binding and oligomerization domain leucine-rich repeat ... interest statement None declared. References 1 Takeuchi O , Akira S . Pattern recognition receptors and inflammation . Cell   2010 ; 140 : 805 – 20 . doi:10.1016/j.cell.2010.01.022

Signal Analysis on Strings for Immune-Type Pattern Recognition

International Journal of Signal analysis on strings for immune-type pattern recognition Nikolaos D. Atreas 0 Costas Karanikas 0 Persefoni Polychronidou 0 0 Department of Informatics, Aristotle ... tree transform; edge detection; hidden Markov model; string matching Introduction The immune system is one of the most effective pattern recognition systems. This system deals with RNA strings on

User experience of controlling the DEKA Arm with EMG pattern recognition

Introduction A commercially available EMG Pattern Recognition (EMG-PR) control system was adapted to interface with the multi-degree of freedom (DOF) DEKA Arm. Purpose To describe users’ experience ... for TR amputees [ 4 ] and that these subjects, despite training, did not take full advantage of the wrist motion available. Recent commercial release of an EMG pattern recognition (EMG-PR) system

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

Classificação de biodiesel na região do visível

Classification of biodiesel by oilseed type using pattern recognition techniques is described. The spectra of the samples were performed in the Visible region, requiring noise removal by use of a ... .         [ Links ] 10. Holler, F. J.; Skoog, D. A.; Crouch, S. R.; Princípios de Análise Instrumental, 6ª ed., Bookman: Porto Alegre, 2009.         [ Links ] 11. Brereton, R. G.; Chemometrics for pattern

Advanced Feature Selection for Simplified Pattern Recognition within the Damage Identification Framework

Shock and Vibration 1070-9622 Advanced feature selection for simplified pattern recognition within the damage identification framework G. Manson 0 R.J. Barthorpe 0 0 Dynamics Research Group ... ; neural networks 1. Introduction There has been considerable success in recent years in considering the problem of damage identification as one of pattern recognition. The first author was involved in a

Subcellular localisation of cholesterol and phosphocholine with pattern-recognition-imaging-TOF-SIMS

localisation of membrane lipids with pattern-recognition, imaging time-of-flight secondary ion mass spectrometry (PRITS) here utilized for identification and subcellular localisation of cholesterol and ... the known cell structures. We here report successful subcellular localisation of membrane lipids by pattern recognition imaging TOF-SIMS (PRITS) based on freeze-drying thin layers of cells in volatile

REGRAS: an auxiliary program for pattern recognition and substructure elucidation of monoterpenes

The main purpose of this paper is to present a procedure that utilizes 13C NMR for pattern recognition and substructure elucidation of monoterpenes. By this reason, a novel version of the REGRAS ... . Monoterpenes; 13C NMR; pattern recognition; structural elucidation; expert system 1. Introduction number of structural proposals could be reduced throughout the structural generation process. Thus, after

Comprehensive two-dimensional gas chromatography–mass spectrometry combined with multivariate data analysis for pattern recognition in Ecuadorian spirits

-limonene can be considered key elements for pattern recognition of these traditional beverages and product adulteration cases. Thus, the two-dimensional chromatographic fingerprints obtained by GC × GC–MS ... these beverages. Therefore, the use of multivariate data analysis for pattern recognition was required to achieve this goal, obtaining a better discrimination amongst the types of beverages by firstly

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

Optimization of Complex Cancer Morphology Detection Using the SIVQ Pattern Recognition Algorithm

, consistency, and quantitation. We have recently reported such an algorithm, SIVQ (Spatially Invariant Vector Quantization), which avails itself of the geometric advantages of ring vectors for pattern matching ... Analytical Cellular Pathology Optimization of complex cancer morphology detection using the SIVQ pattern recognition algorithm Jason Hipp 1 Steven Christopher Smith 1 Jerome Cheng 1 Scott Arthur

The application of pattern recognition techniques in metabolite fingerprinting of six different Phyllanthus spp.

region of 400–2000 cm−1 was analyzed with four different pattern recognition methods. Initially, principal component analysis (PCA) was used to reduce the spectra to six principal components and these ... . Pharm. Bull . 53 ( 2005 ), 105 - 109 . [16] B.K. Lavine , C.E. Davidson and A.J. Moores , Genetic algorithms for spectral pattern recognition , Vib. Spectrosc . 28 ( 2002 ), 83 - 95 . [17] B.K. Lavine

Electrocardiogram Pattern Recognition and Analysis Based on Artificial Neural Networks and Support Vector Machines: A Review

pattern recognition perspective. In particular, we focus on features commonly used for heartbeat classification. Considering the vast literature in the field and the limited space of this review, we ... , other techniques such as Hidden Markov Models and Kalman Filtering will be also mentioned. electrocardiogram; pattern recognition; ECG features; ECG classification; arrhythmia detection; heart rate