Authentication of Galician (N.W. Spain) quality brand potatoes using metal analysis. Classical pattern recognition techniques versus a new vector quantization-based classification procedure

The Analyst ◽  
2001 ◽  
Vol 126 (12) ◽  
pp. 2186-2193 ◽  
Author(s):  
R. M. Peña ◽  
S. García ◽  
R. Iglesias ◽  
S. Barro ◽  
C. Herrero
Keyword(s):  
Pattern Recognition ◽  
Vector Quantization ◽  
Metal Analysis ◽  
Classification Procedure ◽  
Pattern Recognition Techniques ◽  
Classical Pattern

EEG-Based Emotion Recognition Using Different Neural Network and Pattern Recognition Techniques A Review

2019 ◽  
Vol 7 (1) ◽  
pp. 615-618
Author(s):  
Y. M. Rajput ◽  
S. Abdul Hannan ◽  
M. Eid Alzahrani ◽  
Ramesh R. Manza ◽  
Dnyaneshwari D. Patil
Keyword(s):  
Neural Network ◽  
Pattern Recognition ◽  
Emotion Recognition ◽  
Pattern Recognition Techniques

Gravity Models in International Trade: An Exploration in Econo-Physics

2021 ◽  
pp. 227797872198992
Author(s):  
Iman Pal ◽  
Saibal Kar
Keyword(s):  
Pattern Recognition ◽  
International Trade ◽  
Present Article ◽  
Gravity Models ◽  
Scientific Applications ◽  
Physical Sciences ◽  
Trade Patterns ◽  
Pattern Recognition Techniques ◽  
The Subject ◽  
Jel Classifications

Several strands of the static and dynamic theoretical constructs and the empirical applications in the subject of economics owe substantially to the well-known principles of physical sciences. The present article explores as to how the development of the popular gravity models in international trade can be traced back to Newton’s law of gravitation, and to both Ohm’s Law and Kirchhoff’s Law of current electricity, as well as to the pattern recognition techniques commonly deployed in scientific applications. In addition to surveying these theoretical analogies, the article also offers numerical applications for observed trade patterns between India and a set of countries. JEL Classifications: F41, F42, C61, F47

The Design of a Universal Infrared Remote Repeater

2012 ◽  
Vol 466-467 ◽  
pp. 1100-1103
Author(s):  
Hong Shan Nie ◽  
Qiang Liu ◽  
Miao Li ◽  
Qing Jiang Li ◽  
Hai Jun Liu ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Remote Control ◽  
Vector Quantization ◽  
Control Signal ◽  
Good Prospect ◽  
Clock Signal ◽  
Storage Efficiency ◽  
Pattern Clustering ◽  
Decoding Efficiency ◽  
Repetitive Pattern

In this paper, a common infrared remote control transmitter is designed, using which, a variety of infrared remote control signal can be decoded, stored and transmitted when users need. And with this design, the problem that remote controllers can not be universally operated is solved . In the design, the algorithm of pattern clustering is used to reduce the errors caused by the instability of clock signal. Moreover, the method of vector Quantization coding and repetitive pattern recognition is used to compress he remote control signal data which achieve a good decoding efficiency and a storage efficiency. Experiments show that the design is feasible and has a good prospect in application.

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