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326. Pattern Recognition: Introduction, Features, Classifiers and Principles
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327. Pattern Recognition and Machine Intelligence
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328. Pattern Theory: The Stochastic Analysis of Real-World Signals
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329. Pattern Recognition and Machine Intelligence
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330. Pattern Recognition and Machine Intelligence
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331. Pattern Recognition
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333. Pattern Recognition
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334. Pattern Theory: the Stochastic Analysis of Real-World Signals
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335. Pattern Theory: The Stochastic Analysis of Real-World Signals
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336. Pattern Theory: the Stochastic Analysis of Real-World Signals
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337. Pattern Recognition and Machine Intelligence: 9th International Conference, PReMI 2021, Kolkata, India, December 15-18, 2021, Proceedings
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338. Pattern Theory
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339. Pattern Theory: The Stochastic Analysis of Real-World Signals
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340. Pattern Recognition: Introduction, Features, Classifiers and Principles
by Beyerer, Jürgen, and Hagmanns, Raphael, and Stadler, Daniel
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341. Pattern Recognition: Introduction, Features, Classifiers and Principles (De Gruyter Textbook)
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342. Pattern Theory
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343. Pattern Theory: the Stochastic Analysis of Real-World Signals
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