Tabla de Contenidos: “…Contiene: Divertimento para 2 trompas, 2 violines, viola y contrabajo en fa mayor KV 247 ; Divertimento para 2 trompas, 2 violines, viola y contrabajo en si bemol mayor KV 287…”

Tabla de Contenidos: “…Song of the nightingale (18:42) -- Danses concertantes (18:21) -- Epitaphium (Arthur Gleghorn, flute ; Kalman Bloch, clarinet ; Dorothy Remsen, harp) (1:10) -- Double canon (Israel Baker, Otis Igleman, violin ; Sanford Schonbach, viola ; George Neikrug, cello) (1:19) -- Abraham and Isaac (Richard Frisch, baritone) (10:26) -- Variations (4:51) -- Requiem canticles (Linda Anderson, soprano ; Elaine Bonazzi, alto ; Charles Bressler, tenor ; Donald Gramm, bass ; Ithaca College Concert Choir ; Gregg Smith, chorus master) (13:39)…”

Materias:

Tabla de Contenidos: “…Introduction -- Qualification raciale ou théâtre de l'absurde : "le statut d'Esquimau, dragon terrassé" dans Re Eskimos, 1939 -- "Des sauvages ornés de plumes bariolées" : la criminalisation des danses autochtone - le procès de Wanduta au Manitoba en 1903 -- "Ce peuple ignore ce qu'est l'obéissance" : les revendications de souveraineté des Premières Nations, Sero c. …”

Tabla de Contenidos: “…Danzando a Apaxuki : interacción entre mestizos y huicholes en la semana santa en San Andrés Cohamiata / Alejandra Aguilar Ros -- Los concheros en un contexto mundial : Mexicanidad, espirtualidad new age y sufismo como influencias en la danza / Susanna Rostas -- Donde vive Chikon Nangui? …”

Tabla de Contenidos: “…Shijima. "Respirar, danzar, donar... la luz, la muerte, el universo" -- Compañía de Danza Deborah Colker. …”

Tabla de Contenidos: “…Haar features, cascading classifiers, and the Viola-Jones algorithm -- Haar Features -- Cascading classifiers -- The Viola-Jones algorithm -- R-CNN - Regions with CNN features -- Fast R-CNN - fast region-based CNN -- Faster R-CNN - faster region proposal network-based CNN -- Mask R-CNN - Instance segmentation with CNN -- Instance segmentation in code -- Creating the environment -- Installing Python dependencies (Python2 environment) -- Downloading and installing the COCO API and detectron library (OS shell commands) -- Preparing the COCO dataset folder structure -- Running the pre-trained model on the COCO dataset -- References -- Summary -- Chapter 8: GAN: Generating New Images with CNN -- Pix2pix - Image-to-Image translation GAN -- CycleGAN -- Training a GAN model -- GAN - code example -- Calculating loss -- Adding the optimizer -- Semi-supervised learning and GAN -- Feature matching -- Semi-supervised classification using a GAN example -- Deep convolutional GAN -- Batch normalization -- Summary -- Chapter 9: Attention Mechanism for CNN and Visual Models -- Attention mechanism for image captioning -- Types of Attention -- Hard Attention -- Soft Attention -- Using attention to improve visual models -- Reasons for sub-optimal performance of visual CNN models -- Recurrent models of visual attention -- Applying the RAM on a noisy MNIST sample -- Glimpse Sensor in code -- References -- Summary -- Other Books You May Enjoy -- Index…”

“…San Pablo, poco cantarín, pedía que llevemos cada uno a la misa o plegaria común un salmo nuestro o de la Biblia, que no cantemos siempre el mismo (1 Cor 14,26). …”

Tabla de Contenidos: “…Cover -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Land Use and Land Cover Mapping of Remotely Sensed Data Using Fuzzy Set Theory-Related Algorithm -- 1.1 Introduction -- 1.1.1 Overview on Landsat 8 -- 1.2 Image Classification -- 1.3 Unsupervised Classification -- 1.4 Supervised Classification -- 1.5 Overview of Fuzzy Sets -- 1.5.1 Fuzzy C-Means Clustering -- 1.5.2 Algorithm of Fuzzy C-Means -- 1.6 Methodology -- 1.6.1 Modified Fuzzy C-Means Technique -- 1.6.2 Construction of a Fuzzy Inference System -- 1.6.3 K-Means Algorithm -- 1.7 Results and Discussion -- 1.7.1 FCM Technique Results -- 1.7.2 Modified FCM Technique Results -- 1.7.3 K-Means Technique Results -- 1.8 Conclusion -- References -- Chapter 2 Role of AI in Mortality Prediction in Intensive Care Unit Patients -- 2.1 Introduction -- 2.2 Background -- 2.3 Objectives -- 2.4 Machine Learning and Mortality Prediction -- 2.4.1 Model Selection -- 2.4.2 Mortality Prediction for ICU Patients -- 2.4.3 Datasets Generation and Preprocessing -- 2.4.3.1 A &gt -- Inclusion Criteria -- 2.4.3.2 B &gt -- Exclusion Criteria -- 2.4.4 Structure of Datasets -- 2.5 Discussions -- 2.6 Conclusion -- 2.7 Future Work -- 2.8 Acknowledgments -- 2.9 Funding -- 2.10 Competing Interest -- References -- Chapter 3 A Survey on Malware Detection Using Machine Learning -- 3.1 Background -- 3.2 Introduction -- 3.3 Literature Survey -- 3.4 Discussion -- 3.5 Conclusion -- References -- Chapter 4 EEG Data Analysis for IQ Test Using Machine Learning Approaches: A Survey -- Introduction -- 4.1 Related Work -- 4.1.1 Signal Pre-Processing, Filtering, and Feature Extraction -- 4.2 Equations -- 4.2.1 Alternating a Diffusion Map-Based Combination of Two FCN Datasets -- 4.2.2 Information Examination -- 4.2.3 Gaussian Kernel Function -- 4.3 Classification -- 4.4 Data Set -- 4.4.1 Pre-Preparing…”