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Nhận dạng chữ viết tay với đặc trưng GIST : Luận văn thạc sĩ công nghệ thông tin. Chuyên ngành: Hệ thống thông tin

Đề tài nghiên cứu nhằm tập trung thiết kế mô hình nhận dạng chữ viết tay ở cấp độ ký tự (số) rời rạc dựa trên việc trích chọn đặc trưng GIST và áp dụng giải thuật Boosting (Adaboost) cho Naive Bayes để nhận dạng....

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Dades bibliogràfiques
Autor principal:	Phạm, Viết Đạo
Format:	Llibre
Idioma:	Undetermined
Publicat:	Cần Thơ Đại học Cần Thơ 2013
Matèries:	Computer perception,Nhận dạng máy tính
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!

Thư viện lưu trữ:	Trung tâm Học liệu Trường Đại học Cần Thơ

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