LEADER 00915nam0-22003371i-450- 001 990001029570403321 005 20090527153435.0 010 $a0-471-90650-6 035 $a000102957 035 $aFED01000102957 035 $a(Aleph)000102957FED01 035 $a000102957 100 $a20001205d1984----km-y0itay50------ba 101 0 $aeng 102 $aGB 105 $aa-------001yy 200 1 $aQuantum field theory$fF. Mandal and G. Shaw 210 $aChichester [etc.]$cJohn Wiley$d1984 215 $aix, 354 p.$cill.$d23 cm 610 0 $aTeoria dei campi 610 0 $aTeoria dello scattering 610 0 $aTeoria dei molti corpi 700 1$aMandl,$bFranz$049019 701 1$aShaw,$bGraham$049020 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001029570403321 952 $a22A-279$b13484$fFI1 959 $aFI1 996 $aQuantum field theory$9335929 997 $aUNINA LEADER 03240 am 2200613 n 450 001 9910341157503321 005 20190708 010 $a979-1-03-510112-1 024 7 $a10.4000/books.psorbonne.30252 035 $a(CKB)4100000009365838 035 $a(FrMaCLE)OB-psorbonne-30252 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/60282 035 $a(PPN)238690210 035 $a(EXLCZ)994100000009365838 100 $a20190918j|||||||| ||| 0 101 0 $afre 135 $auu||||||m|||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSur les hautes terres comme au ciel $eIdentités et territoires en Éthiopie /$fAlain Gascon 210 $aParis $cÉditions de la Sorbonne$d2019 215 $a1 online resource (336 p.) 311 $a2-85944-558-7 330 $aCe livre de géographie historique, culturelle et politique traite des recompositions territoriales et identitaires engagées en Éthiopie depuis la chute de Mängestu, en 1991. En décrétant, en 1975, une Réforme agraire radicale, les militaires visaient plus que la redistribution de la terre, ils faisaient du « temps long table rase ». Ils rompaient avec la territorialisation fondée sur le mythe salomonien : les Éthiopiens, le Peuple élu, habitent les hautes terres, la Terre sainte. Ayant reconnu l'égalité entre les cultures et les peuples d'Éthiopie, la Révolution formait le projet de changer leur répartition et leur habitat de façon à favoriser leur fusion et l'éclosion d'un peuple « socialiste ». Cette nouvelle identité sans racine, sur un territoire devenu uniforme, brisait les liens séculaires unissant les populations et leur Terre sainte. Comme les dirigeants de l'Ancien Régime, les militaires ont sous-estimé les effets de la révolution démographique des années 1960, échoué dans la lutte contre les famines et perdu, comme lui, le pouvoir. Le mythe biblique doit composer avec le réveil des identités « ethniques » et religieuses régionales et avec la répétition des crises de subsistance. Désormais découpée en États-régions ethnofédérales, au nom de la démocratie, et amputée de l'Érythrée, la Terre sainte n'est plus en mesure de nourrir ses enfants, toujours plus nombreux. Le temps court des événements, de l'actualité défie l'ordre voulu par Dieu sur les hautes terres. 606 $aGeography 606 $aréforme agraire 606 $aidentité 606 $amythe 606 $aterritoire 606 $aethnie 606 $areligion 606 $arévolution démographique 610 $aréforme agraire 610 $aidentité 610 $aethnie 610 $amythe 610 $aterritoire 610 $areligion 610 $arévolution démographique 615 4$aGeography 615 4$aréforme agraire 615 4$aidentité 615 4$amythe 615 4$aterritoire 615 4$aethnie 615 4$areligion 615 4$arévolution démographique 700 $aGascon$b Alain$0660983 801 0$bFR-FrMaCLE 906 $aBOOK 912 $a9910341157503321 996 $aSur les hautes terres comme au ciel$93031184 997 $aUNINA LEADER 06283nam 22005895 450 001 9910151857103321 005 20251116173347.0 010 $a3-319-47629-7 024 7 $a10.1007/978-3-319-47629-2 035 $a(CKB)3710000000952907 035 $a(DE-He213)978-3-319-47629-2 035 $a(MiAaPQ)EBC4745996 035 $a(PPN)197141323 035 $a(EXLCZ)993710000000952907 100 $a20161118d2017 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCellular Image Classification /$fby Xiang Xu, Xingkun Wu, Feng Lin 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (IX, 137 p. 60 illus.) 311 08$a3-319-47628-9 320 $aIncludes bibliographical references. 327 $aIntroduction -- Fundamentals -- Optical Systems for Cellular Imaging -- Image Representation with Bag-of-Words -- Image Coding -- Encoding Image Features -- Defining Feature Space for Image Classification -- Conclusions and Perspectives. 330 $aThis book introduces new techniques for cellular image feature extraction, pattern recognition and classification. The authors use the antinuclear antibodies (ANAs) in patient serum as the subjects and the Indirect Immunofluorescence (IIF) technique as the imaging protocol to illustrate the applications of the described methods. Throughout the book, the authors provide evaluations for the proposed methods on two publicly available human epithelial (HEp-2) cell datasets: ICPR2012 dataset from the ICPR'12 HEp-2 cell classification contest and ICIP2013 training dataset from the ICIP'13 Competition on cells classification by fluorescent image analysis. First, the reading of imaging results is significantly influenced by one?s qualification and reading systems, causing high intra- and inter-laboratory variance. The authors present a low-order LP21 fiber mode for optical single cell manipulation and imaging staining patterns of HEp-2 cells. A focused four-lobed mode distribution is stable and effective in optical tweezer applications, including selective cell pick-up, pairing, grouping or separation, as well as rotation of cell dimers and clusters. Both translational dragging force and rotational torque in the experiments are in good accordance with the theoretical model. With a simple all-fiber configuration, and low peak irradiation to targeted cells, instrumentation of this optical chuck technology will provide a powerful tool in the ANA-IIF laboratories. Chapters focus on the optical, mechanical and computing systems for the clinical trials. Computer programs for GUI and control of the optical tweezers are also discussed. to more discriminative local distance vector by searching for local neighbors of the local feature in the class-specific manifolds. Encoding and pooling the local distance vectors leads to salient image representation. Combined with the traditional coding methods, this method achieves higher classification accuracy. Then, a rotation invariant textural feature of Pairwise Local Ternary Patterns with Spatial Rotation Invariant (PLTP-SRI) is examined. It is invariant to image rotations, meanwhile it is robust to noise and weak illumination. By adding spatial pyramid structure, this method captures spatial layout information. While the proposed PLTP-SRI feature extracts local feature, the BoW framework builds a global image representation. It is reasonable to combine them together to achieve impressive classification performance, as the combined feature takes the advantages of the two kinds of features in different aspects. Finally, the authors design a Co-occurrence Differential Texton (CoDT) feature to represent the local image patches of HEp-2 cells. The CoDT feature reduces the information loss by ignoring the quantization while it utilizes the spatial relations among the differential micro-texton feature. Thus it can increase the discriminative power. A generative model adaptively characterizes the CoDT feature space of the training data. Furthermore, exploiting a discriminant representation allows for HEp-2 cell images based on the adaptive partitioned feature space. Therefore, the resulting representation is adapted to the classification task. By cooperating with linear Support Vector Machine (SVM) classifier, this framework can exploit the advantages of both generative and discriminative approaches for cellular image classification. The book is written for those researchers who would like to develop their own programs, and the working MatLab codes are included for all the important algorithms presented. It can also be used as a reference book for graduate students and senior undergraduates in the area of biomedical imaging, image feature extraction, pattern recognition and classification. Academics, researchers, and professional will find this to be an exceptional resource. 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aPattern perception 606 $aBiomathematics 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aPhysiological, Cellular and Medical Topics$3https://scigraph.springernature.com/ontologies/product-market-codes/M31020 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aPattern perception. 615 0$aBiomathematics. 615 14$aSignal, Image and Speech Processing. 615 24$aPattern Recognition. 615 24$aPhysiological, Cellular and Medical Topics. 676 $a621.382 700 $aXu$b Xiang$4aut$4http://id.loc.gov/vocabulary/relators/aut$0875331 702 $aWu$b Xingkun$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aLin$b Feng$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910151857103321 996 $aCellular Image Classification$91954293 997 $aUNINA