Kniha Mathematical Methodologies in Pattern Recognition and Machine Learning Pedro Latorre Carmona

Mathematical Methodologies in Pattern Recognition and Machine Learning

Contributions from the International Conference on Pattern Recognition Applications and Methods, 2012

Jazyk: Angličtina
Väzba: Pevná
Dostupnosť: Skladom u dodávateľa
Odosielame za 10-13 dní
100.00
This volume features key contributions from the International Conference on Pattern Recognition Appl...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Pevná
Vydalo
2012
Stránok
196
EAN
9781461450757
ISBN
1461450756
Enbook ID
01428191
Hmotnosť
452
Rozmery
243 x 165 x 18

Kompletný popis

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.

Mohlo by vás zaujímať

125.15

Nature of Human Intelligence

Robert J. Sternberg
42.73
19.05
19.34
15.61

Lovesick

John Foy
12.66

Griffin ahoy!

Edward Herbert Maxwell
23.47
17.08
10.31
17.18

Accidental Heir

Rex Inverness
18.66

Zákazníci, ktorí si kúpili túto knihu, kúpili tiež

35.75

Kolorowi rycerze

Opracowanie zbiorowe
1.56
8.73

Novacène

Audouin
38.01

Leader Kiff

Poissonnier
28.97

Die Prophezeiung

Wolfgang Hohlbein
10.70

Inmortales

M. E. Cano
8.73
31.62

Illustrationen des Wahnsinns

Kerstin Schönemann
16.50

Tijda

Erdem Güzel
9.91
21.80
16.69

Deutsche Geschichte

Ludwig Hausser
35.55