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Image of Mathematical methodologies in pattern recognition and machine learning : contributions from the international conference on pattern recognition applications and methods 2012
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Electronic Resource

Mathematical methodologies in pattern recognition and machine learning : contributions from the international conference on pattern recognition applications and methods 2012

Carmona, Pedro Latorre - Nama Orang; Sánchez, J. Salvador - Nama Orang; Fred, Ana L.N. - Nama Orang;

This volume features key contributions from the International Conference on Pattern Recognition Applications and Methods, (ICPRAM 2012,) held in Vilamoura, Algarve, Portugal from February 6th-8th, 2012. The conference provided a major point of collaboration between researchers, engineers and practitioners in the areas of Pattern Recognition, both from theoretical and applied perspectives, with a focus on mathematical methodologies. Contributions describe applications of pattern recognition techniques to real-world problems, interdisciplinary research, and experimental and theoretical studies which yield new insights that provide key advances in the field.
This book will be suitable for scientists and researchers in optimization, numerical methods, computer science, statistics and for differential geometers and mathematical physicists.


Ketersediaan
#
Perpustakaan Pusat E485
E485
Tersedia
Informasi Detail
Judul Seri
Springer proceedings in mathematics & statistics
No. Panggil
E485
Penerbit
New York : Springer., 2012
Deskripsi Fisik
viii, 196 hlm.
Bahasa
English
ISBN/ISSN
9781461450764
Klasifikasi
NONE
Tipe Isi
text
Tipe Media
computer
Tipe Pembawa
online resource
Edisi
1
Subjek
Teori Optimasi
Ilmu Komputer : Aplikasi Matematika Teknik
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Pedro Latorre Carmona, J. Salvador Sánchez, Ana L.N. Fred
Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas
  • Mathematical Methodologies in Pattern Recognition and Machine Learning : Contributions from the International Conference on Pattern Recognition Applications and Methods 2012
    https://doi.org/10.1007/978-1-4614-5076-4
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