LEADER 01555nam a2200325 i 4500 001 991003303639707536 008 031027s nju 000 0 eng d 020 $a9812380698 035 $ab12407719-39ule_inst 040 $aDip.to Fisica$beng 082 0 $a530.144 084 $aLC QC174.17.P7 084 $a53.4.16 245 00$aIntroduction to modern methods of quantum many-body theory and their applications /$ceditors, Adelchi Fabrocini, Stefano Fantoni, Eckhard Krotscheck 260 $aRiver Edge, NJ :$bWorld Scientific,$cc2002 300 $axii, 413 p. :$bill. ;$c26 cm 440 0$aSeries on advances in quantum many-body theory ;$vv. 7 500 $aLecture notes of the second European Summer School on Microscopic Quantum Many-Body Theories and their Applications, held in Miramare, Trieste, Italy, on September 3-14, 2001. 504 $aIncludes bibliographical references and indexes 650 4$aMany-body problem$xCongresses 700 1 $aFabrocini, Adelchi 700 1 $aFantoni, Stefano 700 1 $aKrotscheck, Eckhard 711 2 $aEuropean Summer School on Microscopic Many-Body Theories and their Applications$n<2. ;$d2001 ;$cMiramare, Italy> 907 $a.b12407719$b21-09-06$c27-10-03 912 $a991003303639707536 945 $aLE006 53.4.16 FAB$g1$i2006000091435$lle006$o-$pE75.24$q-$rl$s- $t0$u6$v2$w6$x0$y.i12821561$z27-10-03 996 $aIntroduction to modern methods of quantum many-body theory and their applications$9167858 997 $aUNISALENTO 998 $ale006$b27-10-03$cm$da $e-$feng$gnju$h0$i1 LEADER 02065nam 2200373 450 001 996280486403316 005 20231206165722.0 010 $a1-5044-3576-1 035 $a(CKB)3710000001403051 035 $a(NjHacI)993710000001403051 035 $a(EXLCZ)993710000001403051 100 $a20231206d2017 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aANSI C63.5-2017 (Revision of ANSI C63.5-2005) $eAmerican National Standard for Electromagnetic Compatibility--Radiated Emission Measurements in Electromagnetic Interference (EMI) Control--Calibration and Qualification of Antennas (9 kHz to 40 GHz) /$fIEEE 210 1$aNew York :$cIEEE,$d2017. 215 $a1 online resource 330 $aMethods for determining antenna factors of antennas used for radiated emission measurements in electromagnetic interference (EMI) control from 9 kHz to 40 GHz are provided. Antennas included are linearly polarized antennas such as loops, rods (monopoles), tuned dipoles, biconical dipoles, log-periodic dipole arrays, biconical and log-periodic dipole array hybrids, broadband horns, etc., that are used in measurements prescribed by ANSI C63.4 and ANSI C63.10. The antenna calibration methods include standard site method (i.e., three-antenna method), reference antenna method, equivalent capacitance substitution method, standard transmit loop method, standard antenna method, and standard field method. 517 $aC63.5-2017 - American National Standard for Electromagnetic Compatibility--Radiated Emission Measurements in Electromagnetic Interference 517 $aANSI C63.5-2017 606 $aAntennas, Dipole 606 $aElectromagnetic interference 615 0$aAntennas, Dipole. 615 0$aElectromagnetic interference. 676 $a621.3824 801 0$bNjHacI 801 1$bNjHacl 906 $aDOCUMENT 912 $a996280486403316 996 $aANSI C63.5-2017 (Revision of ANSI C63.5-2005)$93647478 997 $aUNISA LEADER 03312nam 2200649Ia 450 001 9910437900603321 005 20200520144314.0 010 $a9781283910484 010 $a1283910489 010 $a9781461446392 010 $a1461446392 024 7 $a10.1007/978-1-4614-4639-2 035 $a(CKB)2670000000278084 035 $a(EBL)1081849 035 $a(OCoLC)819508515 035 $a(SSID)ssj0000799043 035 $a(PQKBManifestationID)11437005 035 $a(PQKBTitleCode)TC0000799043 035 $a(PQKBWorkID)10755669 035 $a(PQKB)11271909 035 $a(DE-He213)978-1-4614-4639-2 035 $a(MiAaPQ)EBC1081849 035 $a(PPN)168300818 035 $a(EXLCZ)992670000000278084 100 $a20120918d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aPrivacy-preserving machine learning for speech processing /$fManas A. Pathak 205 $a1st ed. 2013. 210 $aNew York $cSpringer$d2012 215 $a1 online resource (144 p.) 225 0 $aSpringer theses 300 $a"Doctoral thesis accepted by Carnegie Mellon University, USA". 311 08$a9781489991201 311 08$a1489991204 311 08$a9781461446385 311 08$a1461446384 327 $aThesis Overview -- Speech Processing Background -- Privacy Background -- Overview of Speaker Verification with Privacy -- Privacy-Preserving Speaker Verification Using Gaussian Mixture Models -- Privacy-Preserving Speaker Verification as String Comparison -- Overview of Speaker Identification with Privacy -- Privacy-Preserving Speaker Identification Using Gausian Mixture Models -- Privacy-Preserving Speaker Identification as String Comparison -- Overview of Speech Recognition with Privacy -- Privacy-Preserving Isolated-Word Recognition -- Thesis Conclusion -- Future Work -- Differentially Private Gaussian Mixture Models. 330 $aThis thesis discusses the privacy issues in speech-based applications, including biometric authentication, surveillance, and external speech processing services. Manas A. Pathak presents solutions for privacy-preserving speech processing applications such as speaker verification, speaker identification, and speech recognition. The thesis introduces tools from cryptography and machine learning and current techniques for improving the efficiency and scalability of the presented solutions, as well as experiments with prototype implementations of the solutions for execution time and accuracy on standardized speech datasets. Using the framework proposed  may make it possible for a surveillance agency to listen for a known terrorist, without being able to hear conversation from non-targeted, innocent civilians. 410 0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 606 $aSpeech processing systems 606 $aMachine learning 615 0$aSpeech processing systems. 615 0$aMachine learning. 676 $a004.2/1 676 $a621.3994 701 $aPathak$b Manas A$0721223 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437900603321 996 $aPrivacy-Preserving Machine Learning for Speech Processing$92528194 997 $aUNINA