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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
151

Från tecken till dans- Benesh Movement Notation som pedagogiskt verktyg

Cederwall Broberg, Lena January 2009 (has links)
SammanfattningMitt syfte med uppsatsen är att utforska om eftergymnasiala danselever upplever att Benesh Movement Notation kan var ett hjälpmedel i den praktiska dansundervisningen. Studiens syfte är även att förtydliga vikten av att koppla teori till det praktiska ut-övandet av danskunskap. Min metod i denna undersökning har varit att intervjua 12 eftergymnasiala danselever om deras upplevelser, det vill säga, fördelar och nackdelar med Benesh Movement Notation i praktisk dansträning, möjligheten att skriva egna anteckningar och i repertoararbete. Resultatet visar att genom att kombinera praktik och studier i Benesh Movement Notation utvecklar eleverna sin analysförmåga i rörelse och självständigt tänkande i den praktiska dansträningen. Eleverna utvecklar vidare sin förmåga att uttrycka sig och formulera sig verbalt i dansträningen, och får en djupare kunskap i förmågan att tolka interpretationen.
152

Three Related Pieces

Erickson, Edwin Scott 01 January 1974 (has links) (PDF)
No description available.
153

Episode 3.05 – Introduction to Offset or Biased Notation

Tarnoff, David 01 January 2020 (has links)
It turns out that twos complement is just one of many ways to use binary to represent negative numbers. In this episode, we examine the use of offset or biased notation to represent signed integers.
154

The Choreographed Landscape:Performance of the Queensgate Rail Yard

Sen, Priyanka, M.A. 27 October 2017 (has links)
No description available.
155

El Salón México by Aaron Copland: A Study and Comparison of the Orchestral Score and Two Transcriptions for Band

Svanoe, Erika Kirsten 03 September 2009 (has links)
No description available.
156

Notation as a guide to modality in the Offertories of Paris, B.N., Lat. 903 /

Frasch, Cheryl Crawford January 1985 (has links)
No description available.
157

Adaptive optical music recognition

Fujinaga, Ichiro January 1996 (has links)
No description available.
158

[en] A FEW-SHOT LEARNING APPROACH FOR VIDEO ANNOTATION / [pt] UMA ABORDAGEM FEW-SHOT LEARNING PARA ANOTAÇÃO DE VÍDEOS

DEBORA STUCK DELGADO DE SOUZA 04 July 2024 (has links)
[pt] Cada vez mais, os vídeos se tornam uma parte integrante de nossa vida cotidiana. Plataformas como YouTube, Facebook e Instagram recebem uma enorme quantidade de horas de vídeo todos os dias. Quando focamos na categoria de vídeos esportivos, é evidente o crescente interesse em obter dados estatísticos, especialmente no futebol. Isso é valioso tanto para melhorar a performance de atletas e equipes quanto para plataformas que utilizam essas informações, como as de apostas. Consequentemente, o interesse em resolver problemas relacionados à Visão Computacional tem aumentado. No caso do Aprendizado Supervisionado, a qualidade das anotações dos dados é mais um ponto importante para o sucesso das pesquisas. Existem várias ferramentas de anotação disponíveis no mercado, porém poucas com o foco nos quadros relevantes e com suporte a modelos de Inteligência Artificial. Neste sentido, este trabalho envolve a utilização da técnica de Transfer Learning com a extração de features em uma Rede Neural Convolucional (CNN); a investigação de um modelo de classificação baseado na abordagem Few-Shot Learning em conjunto com o algoritmo K-Nearest Neighbors (KNN); a avaliação dos resultados com abordagens diferentes para o balanceamento de classes; o estudo da geração do gráfico 2D com o t-Distributed Stochastic Neighbor Embedding (t-SNE) para análise das anotações e a criação de uma ferramenta para anotação de frames importantes em vídeos, com o intuito de auxiliar as pesquisas e testes. / [en] More and more videos are part of our daily life. Platforms like Youtube, Facebook and Instagram receive a large amount of hours of videos every day. When we focus on the sports videos category, the growing interest in obtaining statistical data is evident, especially in soccer. This is valuable both for improving the performance of athletes and teams and for platforms that use this information, such as betting platforms. Consequently, interest in solving problems related to Computer Vision has increased. In the case of Supervised Learning, the quality of data annotations is another important point for the success of research. There are several annotation tools available on the market, but few focus on relevant frames and support Artificial Intelligence models. In this sense, this work involves the use of the Transfer Learning technique for Feature Extraction in a Convolutional Neural Network (CNN); the investigation of a classification model based on the Few-Shot Learning approach together with the K-Nearest Neighbors (KNN) algorithm; evaluating results with different approaches to class balancing; the study of 2D graph generation with t-Distributed Stochastic Neighbor Embedding (t-SNE) for annotation analysis and the creation of a tool for annotating important frames in videos, with the aim of assisting research and testing.
159

Monographie du processus de classement des élèves du primaire pour leur passage au secondaire

Drolet, Michelle 25 April 2018 (has links)
Québec Université Laval, Bibliothèque 2015
160

La dynamique décisionnelle et relationnelle du classement des élèves dans la stratification scolaire d'une école polyvalente

Hart, Sylvie Ann 25 April 2018 (has links)
Québec Université Laval, Bibliothèque 2016

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