Electronic Resource

Pattern recognition and classification : an introduction

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The use of pattern recognition and classification is fundamental to many of the automated electronic systems in use today. However, despite the existence of a number of notable books in the field, the subject remains very challenging, especially for the beginner.

Pattern Recognition and Classification presents a comprehensive introduction to the core concepts involved in automated pattern recognition. It is designed to be accessible to newcomers from varied backgrounds, but it will also be useful to researchers and professionals in image and signal processing and analysis, and in computer vision. Fundamental concepts of supervised and unsupervised classification are presented in an informal, rather than axiomatic, treatment so that the reader can quickly acquire the necessary background for applying the concepts to real problems. More advanced topics, such as semi-supervised classification, combining clustering algorithms and relevance feedback are addressed in the laterchapters.

This book is suitable for undergraduates and graduates studying pattern recognition and machine learning.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

E1034

Penerbit

New York : Springer., 2012

Deskripsi Fisik

xi, 196 hlm. : il. warna

Bahasa

English

ISBN/ISSN

9781461453239

Klasifikasi

NONE

Tipe Isi

text

Tipe Media

computer

Tipe Pembawa

online resource

Edisi

-

Subjek

Analisis
Algoritma
Pengenalan Pola

Info Detail Spesifik

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Pernyataan Tanggungjawab

Geoff Dougherty

Versi lain/terkait

Lampiran Berkas

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