LEADER 02213nam 2200553 450 001 9910797233703321 005 20230807215917.0 010 $a0-19-102922-X 010 $a0-19-178843-0 010 $a0-19-102921-1 035 $a(CKB)3710000000432992 035 $a(EBL)2076392 035 $a(MiAaPQ)EBC2076392 035 $a(StDuBDS)EDZ0001207894 035 $a(Au-PeEL)EBL2076392 035 $a(CaPaEBR)ebr11067873 035 $a(CaONFJC)MIL802498 035 $a(OCoLC)911492354 035 $a(EXLCZ)993710000000432992 100 $a20150701h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 00$aNocturia /$fedited by Hashim Hashim, Paul Abrams ; contributors, Roger Dmochowski [and three others] 205 $aFirst edition. 210 1$aOxford, England :$cOxford University Press,$d2015. 210 4$dİ2015 215 $a1 online resource (81 p.) 225 1 $aOxford Urology Library 300 $aDescription based upon print version of record. 311 $a0-19-871911-6 320 $aIncludes bibliographical references at the end of each chapters and index. 330 $aNocturia is the most bothersome and prevalent lower urinary tract symptom in the world. It has a multifactorial aetiology ranging from medical causes to surgical causes, which means a thorough history and clinical examination is required before treatment from the appropriate specialist.Part of the Oxford Urology Library, this pocketbook covers all the clinically relevant aspects of a demanding subject with up-to-date information from experts in Urology. With chapters covering the definition, epidemiology, assessment and treatment of nocturia, this title is an invaluable and easy-to-read refere 410 0$aOxford urology library. 606 $aUrination disorders 615 0$aUrination disorders. 676 $a616.62 702 $aHashim$b Hashim 702 $aAbrams$b Paul 702 $aDmochowski$b Roger 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910797233703321 996 $aNocturia$93781249 997 $aUNINA LEADER 03908nam 2200625 a 450 001 9910484940403321 005 20200520144314.0 010 $a3-540-68795-5 024 7 $a10.1007/11957959 035 $a(CKB)1000000000284034 035 $a(SSID)ssj0000320441 035 $a(PQKBManifestationID)11286220 035 $a(PQKBTitleCode)TC0000320441 035 $a(PQKBWorkID)10249490 035 $a(PQKB)10856806 035 $a(DE-He213)978-3-540-68795-5 035 $a(MiAaPQ)EBC3068562 035 $a(PPN)123140129 035 $a(EXLCZ)991000000000284034 100 $a20061109d2006 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 00$aToward category-level object recognition /$fJean Ponce ... [et al.] (eds.) 205 $a1st ed. 2006. 210 $aBerlin ;$aNew York $cSpringer$dc2006 215 $a1 online resource (XI, 620 p.) 225 1 $aLecture notes in computer science,$x0302-9743 ;$v4170 225 1 $aLNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics 300 $a"Outcome of two workshops that were held in Taormina in 2003 and 3004"--Pref. 311 $a3-540-68794-7 320 $aIncludes bibliographical references and index. 327 $apt. 1. Introduction -- pt. 2. Recognition of specific objects -- pt. 3. Recognition of object categories -- pt. 4. Recognition of object categories with geometric relations -- pt. 5. Joint recognition and segmentation. 330 $aAlthough research in computer vision for recognizing 3D objects in photographs dates back to the 1960s, progress was relatively slow until the turn of the millennium, and only now do we see the emergence of effective techniques for recognizing object categories with different appearances under large variations in the observation conditions. Tremendous progress has been achieved in the past five years, thanks largely to the integration of new data representations, such as invariant semi-local features, developed in the computer vision community with the effective models of data distribution and classification procedures developed in the statistical machine-learning community. This volume is a post-event proceedings volume and contains selected papers based on presentations given, and vivid discussions held, during two workshops held in Taormina in 2003 and 2004. The main goals of these two workshops were to promote the creation of an international object recognition community, with common datasets and evaluation procedures, to map the state of the art and identify the main open problems and opportunities for synergistic research, and to articulate the industrial and societal needs and opportunities for object recognition research worldwide. The 30 thoroughly revised papers presented are organized in the following topical sections: recognition of specific objects, recognition of object categories, recognition of object categories with geometric relations, and joint recognition and segmentation. 410 0$aLecture notes in computer science ;$v4170. 410 0$aLNCS sublibrary.$nSL 6,$pImage processing, computer vision, pattern recognition, and graphics. 606 $aComputer vision$vCongresses 606 $aPattern recognition systems$vCongresses 606 $aImage processing$xDigital techniques$vCongresses 606 $aObject-oriented methods (Computer science)$vCongresses 615 0$aComputer vision 615 0$aPattern recognition systems 615 0$aImage processing$xDigital techniques 615 0$aObject-oriented methods (Computer science) 676 $a006.3/7 701 $aPonce$b Jean$066811 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484940403321 996 $aToward category-level object recognition$94187265 997 $aUNINA