 |
ISBN
| 9780857294951 | |
DDC
| 006.4 | |
Tác giả CN
| Murty, M. Narasimha | |
Nhan đề
| Pattern recognition : An algorithmic approach / M Narasimha Murty; V Susheela Devi | |
Thông tin xuất bản
| London , New York : Springer, 2011 | |
Mô tả vật lý
| x, 263 pages : illustrations | |
Tóm tắt
| Observing the environment, and recognising patterns for the purpose of decision-making, is fundamental to human nature. The scientific discipline of pattern recognition (PR) is devoted to how machines use computing to discern patterns in the real world. This must-read textbook provides an exposition of principal topics in PR using an algorithmic approach. Presenting a thorough introduction to the concepts of PR and a systematic account of the major topics, the text also reviews the vast progress made in the field in recent years. The algorithmic approach makes the material more accessible to computer science and engineering students. | |
Thuật ngữ chủ đề
| Computer vision. | |
Thuật ngữ chủ đề
| Pattern recognition systems. | |
Thuật ngữ chủ đề
| Pattern Recognition, Automated. | |
Khoa
| Khoa Công nghệ Thông tin | |
Tác giả(bs) CN
| Devi, V. Susheela | |
Địa chỉ
| Thư Viện Đại học Nguyễn Tất Thành |
| |
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| 100 | |aMurty, M. Narasimha |
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| 245 | |aPattern recognition : An algorithmic approach / |cM Narasimha Murty; V Susheela Devi |
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| 260 | |aLondon , New York : |bSpringer, |c2011 |
|---|
| 300 | |ax, 263 pages : |billustrations |
|---|
| 520 | |aObserving the environment, and recognising patterns for the purpose of decision-making, is fundamental to human nature. The scientific discipline of pattern recognition (PR) is devoted to how machines use computing to discern patterns in the real world. This must-read textbook provides an exposition of principal topics in PR using an algorithmic approach. Presenting a thorough introduction to the concepts of PR and a systematic account of the major topics, the text also reviews the vast progress made in the field in recent years. The algorithmic approach makes the material more accessible to computer science and engineering students. |
|---|
| 541 | |aMua |
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| 650 | |aComputer vision. |
|---|
| 650 | |aPattern recognition systems. |
|---|
| 650 | |aPattern Recognition, Automated. |
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| 690 | |aKhoa Công nghệ Thông tin |
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| 700 | |aDevi, V. Susheela |
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| 852 | |aThư Viện Đại học Nguyễn Tất Thành |
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