Vector Quantization of Residual Images using Self-Organizing Map with Sample Weighted Training

E. Yli-Rantala, T. Ojala, P. Vuorimaa

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific

Translated title of the contribution	Vector Quantization of Residual Images using Self-Organizing Map with Sample Weighted Training
Original language	English
Title of host publication	Proc. of EUFIT'96, Fourth European Congress on Intelligent Techniques and Soft Computing, September 2-5,1996, Aachen, Germany
Pages	325-328
Publication status	Published - 1996
Publication type	B3 Article in conference proceedings

Publication forum classification

@inproceedings{58dcd3adfa6d4efb9e9ea48b9f95e1b5,

title = "Vector Quantization of Residual Images using Self-Organizing Map with Sample Weighted Training",

author = "E. Yli-Rantala and T. Ojala and P. Vuorimaa",

note = "Contribution: organisation=sgn,FACT1=1",

year = "1996",

language = "English",

pages = "325--328",

booktitle = "Proc. of EUFIT'96, Fourth European Congress on Intelligent Techniques and Soft Computing, September 2-5,1996, Aachen, Germany",

}

Proc. of EUFIT'96, Fourth European Congress on Intelligent Techniques and Soft Computing, September 2-5,1996, Aachen, Germany. 1996. p. 325-328.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific

TY - GEN

T1 - Vector Quantization of Residual Images using Self-Organizing Map with Sample Weighted Training

AU - Yli-Rantala, E.

AU - Ojala, T.

AU - Vuorimaa, P.

N1 - Contribution: organisation=sgn,FACT1=1

PY - 1996

Y1 - 1996

M3 - Conference contribution

SP - 325

EP - 328

BT - Proc. of EUFIT'96, Fourth European Congress on Intelligent Techniques and Soft Computing, September 2-5,1996, Aachen, Germany

ER -