Optimization Based Vector Quantization for Data Reduction in Multimedia Applications

Learning Vector Quantization (LVQ) is a supervised learning algorithm commonly used for statistical classification and pattern recognition. The competitive layer in LVQ studies the input vectors and classifies them into the correct classes. The amount of data involved in the learning process can be reduced by using data reduction methods. In this paper, we propose a data reduction method that uses geometrical proximity of the data. The basic idea is to drop sets of data that have many similarities and keep one representation for each set. By certain adjustments, the data reduction methods can decrease the amount of data involved in the learning process while still maintain the existing accuracy. The amount of data involved in the learning process can be reduced down to 33.22% for the abalone dataset and 55.02% for the bank marketing dataset, respectively.

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An efficient approach to lattice-based fixed-rate entropy-coded vector quantization

European Transactions on Telecommunications ◽

10.1002/ett.4460140207 ◽

2003 ◽

Vol 14 (2) ◽

pp. 141-147

Author(s):

Sasan Nikneshan ◽

And Amir Keyvan Khandani

Keyword(s):

Vector Quantization ◽

Fixed Rate ◽

Efficient Approach

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The CLASSIC/CLIMB Data Reduction: The Math

EAS Publications Series ◽

10.1051/eas/1569005 ◽

2014 ◽

Vol 69-70 ◽

pp. 75-99

Author(s):

T. ten Brummelaar

Keyword(s):

Data Reduction

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ELECTRONIC AREA DETECTOR DATA REDUCTION SYSTEM AT THE SRS

Le Journal de Physique Colloques ◽

10.1051/jphyscol:1986514 ◽

1986 ◽

Vol 47 (C5) ◽

pp. C5-109-C5-113

Author(s):

J. W. CAMPBELL ◽

D. CROFT ◽

J. R. HELLIWELL ◽

P. MACHIN ◽

M. Z. PAPIZ ◽

...

Keyword(s):

Data Reduction ◽

Area Detector ◽

Reduction System

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INOVASI PEMBELAJARAN AKIDAH AKHLAK MENGGUNAKAN METODE ROLE PLAY DALAM MENINGKATKAN PRESTASI BELAJAR SISWA

EDURELIGIA; JURNAL PENDIDIKAN AGAMA ISLAM ◽

10.33650/edureligia.v2i1.234 ◽

2018 ◽

Vol 2 (1) ◽

pp. 52-63

Author(s):

Ansori Ansori

Keyword(s):

Data Reduction ◽

Role Play ◽

Learning Goals ◽

New Paradigm ◽

Learning Materials ◽

Analysis Technique ◽

Flexible Schedule ◽

Using Data ◽

Real Action

The use of various methods will greatly help students in achieving learning goals. As role play method is one way mastery of learning materials through the development of imagination and appreciation of students on learning materials. Data collection techniques in this study are observation, interviews, and documentation. To analyze the data in this research using data analysis technique of Miles and Huberman model that is data reduction (Data Reduction), data presentation (Data Display) and conclusion (Conclution Drawing / verification) The findings in this research is innovation of role play method can change paradigm to the new paradigm so that the role of the teacher is more as a facilitator, counselor, consultant, and comrade study Flexible schedule, open as needed Learning directed by students themselves Problem-based, project, real world, real action, and reflection Design and investigation. Computers as tools, and dynamic media presentations.

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