000 01460nam a22004215i 4500
001 978-1-4419-1570-2
003 DE-He213
005 20130515021026.0
007 cr nn 008mamaa
008 100427s2010 xxu| s |||| 0|eng d
020 _a9781441915702
_9978-1-4419-1570-2
024 7 _a10.1007/978-1-4419-1570-2
_2doi
050 4 _aTK5102.9
050 4 _aTA1637-1638
050 4 _aTK7882.S65
072 7 _aTTBM
_2bicssc
072 7 _aTEC008000
_2bisacsh
082 0 4 _a621.382
_223
100 1 _aPrincipe, Jose C.
245 1 0 _aInformation Theoretic Learning
_h[electronic resource] :
_bRenyi's Entropy and Kernel Perspectives /
_cby Jose C. Principe.
260 _aNew York, NY :
_bSpringer New York,
_c2010.
300 _bdigital.
490 0 _aInformation Science and Statistics,
_x1613-9011
650 0 _aEngineering.
650 0 _aRemote sensing.
650 1 4 _aEngineering.
650 2 4 _aSignal, Image and Speech Processing.
650 2 4 _aComputational Intelligence.
650 2 4 _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
650 2 4 _aRemote Sensing/Photogrammetry.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781441915696
830 0 _aInformation Science and Statistics,
_x1613-9011
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4419-1570-2
912 _aZDB-2-SCS
999 _c72909
_d72909