▄
▄
▄▄▄ ▐█▄
▄▄█████▓██▓▄▄▄ ▄███▌
─■■── ▄████▀▀▀ ▀▀███▓██ ─────────────────── █████▌■───────────────────────■─
░ ░ ▄████▀ ░░░░░░░░ ▀███▓██ ░░░░░░░░░░░░░░░░ █▓████ ░░░░░░ ▄▄▓██▄░░░░░░░░ ░░░░
▀ ▐██▓█ ████▓█ █▓████▌ ▄▀████▓██
▀ ███▓ ████▓█ ▐▓█████ ▄ ████▓██
████▌ ▄▄▀ ▐████▓▌ ▄▄▄ █▓████ ▐██▓▒▓▓▌
▐█▀▄▄██▌ ▄▌████▓█▐██████▓▄▄ ██▓██▌ █▓▒▒▒▓▌ x!FEAR
▒ ▒▒▒▒▐▌███▓█ ▒▒▒▒▒ ▄▀▀▌████▓█ ▀▀▀█████▓█▄ █▓██▌▒▒▒▒▒▒▒▒▒▒▒▐██▓░░▒█ ▒▒▒▒▒▒▒ ▒
▄██▓▓█ ▐███▓█▌ ▀████▓█▄▀███ ▐██▓▒░▒█
░░░░░ ▐██▓▒▓█▌░░░░░░░ ███▓██ ▄░░░░░ ▀███▓██ ▓██░░░░░░░░░ █▌██▒▒▒▓▌ ░ ░░░░░░
▐█▓▒░▒██ ███▓██ █▀ ████▓█ ▓██▄ ▄██ ▐█▓▒▓▓▌
██▓▒▓▌▓█▄ ▄▄█████▀▄█ ████▓▌ ▀▀███▄▄███▀ ▐██▓▓█
▀ ███▓██ ▀▀██▓███▓▀▀▄█▓▌ ▐████▓ ▀▀▀▀ █▓█▀
░░░░ ▄░▐█▓███▀ ░ ▀▀▀ ▀██▓▓▌░ ░░░░░░░░░░░ ███▓█ ░░░░░░░░░░░░░ ██ ░░░░░░░░░ ░
░░░░ ▀███▀▀ ░░░░░░░░░░▐█▓▒▓█ ░░░░░░░░░░░░░███▓█ ░░░░ ░░░░░░░░ █ ░░░░░░░░░
────────────────■───── █▓▒░▒█▌ ────────── ▐███▓▌────────────── ▌ ──────■──────
▒▒▒ ▒ ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒ ██▓▒▓▌▓▄ ▒▒▒▒▒▒▒▒▒ ███▓█ ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒
────────────────── ■▀ ▄███▓██ ▓█▄ ──────▄███▓█ ─────■■─────────────────────■─
▀███▓█▄ ▀███▄▄▄█████▓▀
▀▀ ▀▀███▓▀▀▀
┌────────────────────────────────────────────────────────────────────────────┐
│■■ » RELEASE iNFORMATiON « ■■│
└─┬────────────────────────────────────────────────────────────────────────┬─┘
│░│ TiTLE : Machine Learning in Computer Vision (Computational │░│
│░│ Imaging and Vision) (Hardcover) │░│
│░├────────────────────────────────────────────────────────────────────────┤░│
│░│ AUTHOR : Nicu Sebe │░│
│░├────────────────────────────────────────────────────────────────────────┤░│
│░│ PUBLISHER : Springer │░│
│░├────────────────────────────────────┬───────────────────────────────────┤░│
│░│ iSBN : 1402032749 │ MAKER : Team DDU │░│
│░├────────────────────────────────────┼───────────────────────────────────┤░│
│░│ PAGES : 242 Pages │ PACKAGER : Team DDU │░│
│░├────────────────────────────────────┼───────────────────────────────────┤░│
│░│ EDiTiON : August 5, 2005 │ SUPPLiER : Team DDU │░│
│░├────────────────────────────────────┼───────────────────────────────────┤░│
│░│ LANGUAGE : ENGLISH │ FORMAT : PDF │░│
│░├────────────────────────────────────┼───────────────────────────────────┤░│
│░│ RLS DATE : 01/11/06 │ SiZE : 6.51 MB │░│
┌─┴────────────────────────────────────┴───────────────────────────────────┴─┐
│■■ » RELEASE NOTES « ■■│
└─┬────────────────────────────────────────────────────────────────────────┬─┘
│░│ │░│
│░│ [Product Information] │░│
│░│ │░│
│░│ The goal of this book is to address the use of several │░│
│░│ important machine learning techniques into computer vision │░│
│░│ applications. An innovative combination of computer vision and │░│
│░│ machine learning techniques has the promise of advancing the field │░│
│░│ of computer vision, which contributes to better understanding of │░│
│░│ complex real-world applications. The effective usage of machine │░│
│░│ learning technology in real-world computer vision problems requires │░│
│░│ understanding the domain of application, abstraction of a learning │░│
│░│ problem from a given computer vision task, and the selection of │░│
│░│ appropriate representations for the learnable (input) and learned │░│
│░│ (internal) entities of the system. │░│
│░│ │░│
│░│ In this book, we address all these important aspects from a new │░│
│░│ perspective: that the key element in the current computer │░│
│░│ revolution is the use of machine learning to capture the variations │░│
│░│ in visual appearance, rather than having the designer of the model │░│
│░│ accomplish this. As a bonus, models learned from large datasets are │░│
│░│ likely to be more robust and more realistic than the brittle all- │░│
│░│ design models. │░│
│░│ │░│
│░│ │░│
│░│ [Install Information] │░│
│░│ │░│
│░│ Unpack it ! │░│
│░│ │░│
│░│ [For more information] │░│
│░│ │░│
│░│ http://www.amazon.com/exec/obidos/tg/detail/-/1402032749/ │░│
│░│ │░│
┌─┴────────────────────────────────────────────────────────────────────────┴─┐
│■■ » CONTACT iNFORMATiON « ■■│
└─┬────────────────────────────────────────────────────────────────────────┬─┘
│░│ │░│
│░│ Nothing but suppliers ATM! │░│
│░│ │░│
│░│ If you wish to contact us, you may email us at: │░│
│░│ Email: teamddu[at]land[dot]ru │░│
│░│ │░│
┌─┴────────────────────────────────────────────────────────────────────────┴─┐
│■■ TEAM DDU ( Day Day UP ) 2004 x!FEAR ■■│
└────────────────────────────────────────────────────────────────────────────┘