| 000 | 01613cam a22003732 b4500 | ||
|---|---|---|---|
| 001 | 8575958 | ||
| 003 | IIITD | ||
| 005 | 20230214020003.0 | ||
| 006 | m d | ||
| 007 | cr n | ||
| 008 | 080417e20081020moua s|||||||| 2|eng|d | ||
| 020 | _a9789380931623 | ||
| 020 | _cUSD 99.95 Retail Price (Publisher) | ||
| 024 | 3 | _a9781597492720 | |
| 035 | _a(WaSeSS)ssj0000424958 | ||
| 037 | _b00991439 | ||
| 040 |
_aBIP US _dWaSeSS |
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| 050 | 4 | _aTK7882.P3 | |
| 082 | 0 | 0 |
_a006.4 _221 _bTHE-P |
| 100 | 1 |
_aTheodoridis, Sergios _eAuthor |
|
| 210 | 1 | 0 | _aPattern Recognition |
| 245 | 1 | 0 | _aPattern recognition |
| 250 | _a4th ed. | ||
| 260 |
_bElsevier, _c 2008. _aNew Delhi : |
||
| 300 | _bxvii, 961p. | ||
| 506 | _aLicense restrictions may limit access. | ||
| 520 | 8 |
_aAnnotation _b"This book considers classical and current theory and practice of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods are incorporated in this edition including semi-supervised learning, non-linear dimensionality reduction techniques and spectral clustering."--BOOK JACKET. |
|
| 521 |
_aScholarly & Professional _bElsevier Science & Technology Books |
||
| 600 | _aPattern recognition systems | ||
| 700 | 1 |
_aKoutroumbas, Konstantinos _eAuthor |
|
| 773 | 0 | _tScienceDirect Engineering eBook Collection 2010 | |
| 910 | _aBowker Global Books in Print record | ||
| 942 |
_2ddc _cBK _011 |
||
| 999 |
_c7146 _d7146 |
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