Utilizing the Similarity Preserving Properties of Self-Organizing Maps in Vector Quantization of Images

J. Kangas

Utilizing the Similarity Preserving Properties of Self-Organizing Maps in Vector Quantization of Images

J. Kangas

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

1 Citation (Scopus)

Original language	English
Title of host publication	IEEE International Conference on Neural Networks, Perth, Australia, Nov. 27 - Dec. 1, 1995
Pages	Vol. 4, 2081-2084
Publication status	Published - 1995
MoE publication type	A4 Conference publication

Keywords

error tolerance
image compression
self-organizing map
vector quantization

Cite this

@inproceedings{1d9a6f5a468a40919627a08ec09972ea,

title = "Utilizing the Similarity Preserving Properties of Self-Organizing Maps in Vector Quantization of Images",

keywords = "error tolerance, image compression, self-organizing map, vector quantization, error tolerance, image compression, self-organizing map, vector quantization, error tolerance, image compression, self-organizing map, vector quantization",

author = "J. Kangas",

year = "1995",

language = "English",

pages = "Vol. 4, 2081--2084",

booktitle = "IEEE International Conference on Neural Networks, Perth, Australia, Nov. 27 - Dec. 1, 1995",

}

TY - GEN

T1 - Utilizing the Similarity Preserving Properties of Self-Organizing Maps in Vector Quantization of Images

AU - Kangas, J.

PY - 1995

Y1 - 1995

KW - error tolerance

KW - image compression

KW - self-organizing map

KW - vector quantization

KW - error tolerance

KW - image compression

KW - self-organizing map

KW - vector quantization

KW - error tolerance

KW - image compression

KW - self-organizing map

KW - vector quantization

M3 - Conference article in proceedings

SP - Vol. 4, 2081-2084

BT - IEEE International Conference on Neural Networks, Perth, Australia, Nov. 27 - Dec. 1, 1995

ER -