• No se han encontrado resultados

[PDF] Top 20 TítuloAuthentication of tequilas using pattern recognition and supervised classification

Has 10000 "TítuloAuthentication of tequilas using pattern recognition and supervised classification" found on our website. Below are the top 20 most common "TítuloAuthentication of tequilas using pattern recognition and supervised classification".

TítuloAuthentication of tequilas using pattern recognition and supervised classification

TítuloAuthentication of tequilas using pattern recognition and supervised classification

... development of reliable, fast and cheap analytical methods to characterize tequila and ascertain their ...state-of-the-art and it revealed that there are two major research ways: First, ... See full document

26

Machine Learning for Wind Turbine Blades Maintenance Management

Machine Learning for Wind Turbine Blades Maintenance Management

... separation of layers of a composite material, which produces points of stress ...traction and compression forces in working conditions, and they can trigger cracks, and partial ... See full document

16

Contribution of artificial metaplasticity to pattern recognition

Contribution of artificial metaplasticity to pattern recognition

... number of clusters as the starting point, and then uses genetic K-means algorithm to find the final ...problems and proposed to restructure the system through adjustment the weights of FCM ... See full document

282

Reconocimiento Automático de Actividades Humanas Basado en el Análisis de Secuencias de Imágenes

Reconocimiento Automático de Actividades Humanas Basado en el Análisis de Secuencias de Imágenes

... face recognition systems ...considered pattern recognition problem. SVM is a supervised learning technique used for both classification and regression problems and it is derived ... See full document

190

Searching extended emerging patterns for supervised classification

Searching extended emerging patterns for supervised classification

... characteristic of a supervised classifier; A classifier should also be easily comprehensible by ...higher classification accuracies are usually obtained at the expense of classification ... See full document

102

Common Visual Pattern Recognition Using Hierarchical Clustering Methods with Asymmetric Networks

Common Visual Pattern Recognition Using Hierarchical Clustering Methods with Asymmetric Networks

... number of outliers ranging from 0 to 60 with no noise and some predefined rotation ...object classification were ...sort of outliers. We also tested the per- formance under the effect ... See full document

8

Neural networks and SVM-based classification of leukocytes using the morphological pattern spectrum

Neural networks and SVM-based classification of leukocytes using the morphological pattern spectrum

... or pattern spectrum, as a feature extractor of discriminating characteristics in micro- scopic leukocytes images for classification ...evolution of nuclei in blood white cells, or ...youngest ... See full document

17

Pattern recognition in medical images using neural networks

Pattern recognition in medical images using neural networks

... proportion of a preparation, it should be swept following a "Greek grill", which generates approximately 120 color images of 640x420 ...magnitude of calculations to be carried out should be ... See full document

5

Measuring external face appearance for face classification

Measuring external face appearance for face classification

... works using different techniques have supported this general pattern of results suggesting that for the recognition of unfamiliar faces external features are more important that ... See full document

18

ANALYSIS OF THE LAND USE AND COVER CHANGES IN THE METROPOLITAN AREA OF TEPIC-XALISCO (1973–2015) THROUGH LANDSAT IMAGES

ANALYSIS OF THE LAND USE AND COVER CHANGES IN THE METROPOLITAN AREA OF TEPIC-XALISCO (1973–2015) THROUGH LANDSAT IMAGES

... [28]; and Xie et al. [29] with good results on image classification, similar to the results obtained in this work where the SVMs method registered the best ...different supervised ... See full document

15

What is the use of the notion of the struggle of recognition? = ¿A qué sirve la noción de un conflicto de reconocimiento?

What is the use of the notion of the struggle of recognition? = ¿A qué sirve la noción de un conflicto de reconocimiento?

... type of denial of recognition has to do with the constitution of ...representation of the specificity and value of their ...components of personal identity are ... See full document

12

PSYCHOLOGICAL ANALYSIS OF AUTONOMOUS LEARNING BASED ON FACIAL EXPRESSION RECOGNITION

PSYCHOLOGICAL ANALYSIS OF AUTONOMOUS LEARNING BASED ON FACIAL EXPRESSION RECOGNITION

... proliferation of online learning platform, autonomous learning is increasingly convenient for ...emotions of students may change in online learning environment, bringing uncertainties to the learning ... See full document

8

Robust human detection through fusion of color and infrared video

Robust human detection through fusion of color and infrared video

... Xu and Puig, 2005), o bien mediante una mezcla de gaussianos (Kang et ...Khan and Shah, 2000; Roth et ...Li and Gong (2010), en el cual se usan las características de las regiones que contienen al ... See full document

239

Analysis of urban land use and land cover changes: a case study in Bahir Dar, Ethiopia

Analysis of urban land use and land cover changes: a case study in Bahir Dar, Ethiopia

... movement of residential and commercial land use to rural areas at the periphery of metropolitan areas, has long been considered as a sign of regional economic vitality (Yuan et al, ... See full document

90

Fast Correction of Tiled Display Systems on Planar Surfaces

Fast Correction of Tiled Display Systems on Planar Surfaces

... The corre correct tiled Maintenance completely a of a simulato The descr achieve both seconds. As some user applications with Matlab procedure. T offloads som graphics ca corrections t system need some assum ... See full document

7

Trimming methods for model validation and supervised classification in the presence of contamination

Trimming methods for model validation and supervised classification in the presence of contamination

... speaking, supervised classification is the problem of finding an automatic way to determine to which class does an observation belong based on several previous obser- ...(1936) and Fisher ... See full document

192

Bayesian networks in neuroscience

Bayesian networks in neuroscience

... Supervised classification of dementia development in Parkinson’s disease Multi-dimensional classification for EQ-5D from PDQ-39 in Parkinson’s disease Knowledge discovery in Alzheimer’s [r] ... See full document

126

An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects

An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects

... time of the JEP-Classi fi er algorithm 53 which is a clas- si fi cation algorithm on top of ...cation of the FP-Tree data structure 54 to allow the use of labeled ...node of the tree ... See full document

22

Prion crystalization model and its application to recognition pattern

Prion crystalization model and its application to recognition pattern

... This work presents a pattern recognition system based on a model of prion crystallization. This proposed model represents an unsupervised learning system. The theoretical model is compo[r] ... See full document

7

A better mobile browsing experience through pattern recognition and dynamic restructuring of web pages

A better mobile browsing experience through pattern recognition and dynamic restructuring of web pages

... version of the complete Web application on one corner of the screen in order to navigate through the content in a more agile ...(Lam and Baudisch, 2005) and many popular mobile browsers (Opera ... See full document

74

Show all 10000 documents...