599 research outputs found
An augmented representation of activitiy in video using semantic-context information
No full textLearning and recognizing activity in videos is an especially
important task in computer vision. However, it is hard to
perform. In this paper, we propose a new method by combining
local and global context information to extract a bag-of-wordslike
representation of a single space-time point. Each spacetime
point is described by a bag of visual words that encodes
its relationships with the remaining space-time points in the
video, defining the space-time context. Experiments on the
KTH benchmark of action recognition, show that our approach
performs accurately compared to the state-of-the-art
Samir Amin : intellectuel organique au service de l'emancipation du sud
No full textThis book on Professor Samir Amin retraces his family origins, intellectual itinerary, political struggles as well as his experience in economic policy formulation in Egypt, Mali and many other countries. The fundamentals which shaped Samir Amin's thinking, directed his life-long work and influenced his action spawned from his early discovery in high school of Marxism and Historical Materialism, used as a scientific analysis of the history of human societies. This book also highlights Samir Amin's invaluable contribution to the struggle against capitalism through his indefatigable fight to deconstruct the concepts that are used to disguise the true face of historical capitalism, which is nothing but an unabashed pursuit for accumulation and dispossession of dominated countries and peoples. Through a series of interviews with Samir Amin, the author unravels the poignant and great ideas which have been at the heart of his intellectual and political fight for the last half century. The author also provides a selection of texts which includes an exhaustive bibliography, with all published writings of Samir Amin in French. This rich work is meant for a large readership - students, researchers, teachers, political leaders and citizens who are interested in the phenomenon of globalisation and its impact on the so-called 'under-developed countries
Interview with Samir Gharib
No full textلقاء مع المؤلف المصري سمير غريب حول كتاب "راية الخيال" للكاتب إبراهيم غريب وهو كتاب عن الحركة السريالية في العالم ويربط فيه المؤلف بين التاريخ والأدب والفنون الجميلة وعلم النفس والفكر والسينما. أجرى هذا اللقاء حسن شمس الدين.An interview with Egyptian author Samir Gharib about the book The Flag of Imagination by Egyptian writer Ibrahim Gharib. The book is about the surrealist movement around the world and adopts a mix of approaches and influences from history, literature, fine arts, psychology, philosophy, and cinema. Interview conducted by Hassan Shams El Din
R12. Preparation and characterization of ligand attached new 8-aminoquinoline derivative loaded nanostructured lipid carriers for liver targeting
No full textCorresponding author (Pharmaceutics and Drug delivery): Samir Senapati, [email protected]://egrove.olemiss.edu/pharm_annual_posters/1011/thumbnail.jp
Processus Gaussien sous contraintes et de rang faible sur certaines variétés
No full textLa thèse est divisée en trois parties principales, nous résumerons les principales contributions de la thèse comme suit. Processus gaussiens à faible complexité : la régression par processus gaussien s'échelonne généralement en "" en termes de calcul et en "" en termes d'exigences de mémoire, où "" représente le nombre d'observations. Cette limitation devient inapplicable pour de nombreux problèmes lorsque "" est grand. Dans cette thèse, nous étudions l'expansion de Karhunen-Loève des processus gaussiens, qui présente plusieurs avantages par rapport aux techniques de compression à faible rang. En tronquant l'expansion de Karhunen-Loève, nous obtenons une approximation explicite à faible rang de la matrice de covariance, simplifiant considérablement l'inférence statistique lorsque le nombre de troncatures est faible par rapport à "".Ensuite, nous fournissons des solutions explicites pour les processus gaussiens à faible complexité. Tout d'abord, nous cherchons des expansions de Karhunen-Loève en résolvant les paires propres d'un opérateur différentiel où la fonction de covariance sert de fonction de Green. Nous offrons des solutions explicites pour l'opérateur différentiel de Matérn et pour les opérateurs différentiels dont les fonctions propres sont représentées par des polynômes classiques. Dans la section expérimentale, nous comparons nos méthodes proposées à des approches alternatives, révélant ainsi leur capacité améliorée à capturer des motifs complexes.Processus gaussiens contraints:Cette thèse introduit une approche novatrice utilisant des processus gaussiens contraints pour approximer une fonction de densité basée sur des observations. Pour traiter ces contraintes, notre approche consiste à modéliser la racine carrée de la fonction de densité inconnue réalisée comme un processus gaussien. Dans ce travail, nous adoptons une version tronquée de l'expansion de Karhunen-Loève comme méthode d'approximation. Un avantage notable de cette approche est que les coefficients sont gaussiens et indépendants, les contraintes sur les fonctions réalisées étant entièrement dictées par les contraintes sur les coefficients aléatoires. Après conditionnement sur les données disponibles et les contraintes, la distribution postérieure des coefficients est une distribution normale contrainte à la sphère unité. Cette distribution pose des difficultés analytiques, nécessitant des méthodes numériques d'approximation. À cette fin, cette thèse utilise l'échantillonnage Hamiltonien Monte Carlo sphérique (HMC). L'efficacité du cadre proposé est validée au moyen d'une série d'expériences, avec des comparaisons de performances par rapport à des méthodes alternatives.Enfin, nous introduisons des modèles d'apprentissage par transfert dans l'espace des mesures de probabilité finies, désigné sous le nom de "". Dans notre étude, nous dotons l'espace "" de la métrique de Fisher-Rao, le transformant en une variété riemannienne. Cette variété riemannienne, "", occupe une place significative en géométrie de l'information et possède de nombreuses applications. Au sein de cette thèse, nous fournissons des formules détaillées pour les géodésiques, la fonction exponentielle, la fonction logarithmique et le transport parallèle sur "".Notre exploration s'étend aux modèles statistiques situés au sein de "", généralement réalisés dans l'espace tangent de cette variété. Avec un ensemble complet d'outils géométriques, nous introduisons des modèles d'apprentissage par transfert facilitant le transfert de connaissances entre ces espaces tangents. Des algorithmes détaillés pour l'apprentissage par transfert, comprenant l'Analyse en Composantes Principales (PCA) et les modèles de régression linéaire, sont présentés. Pour étayer ces concepts, nous menons une série d'expériences, fournissant des preuves empiriques de leur efficacité.The thesis is divided into three main parts, we will summarize the major contributions of the thesis as follows.Low complexity Gaussian processes:Gaussian process regression usually scales as "" for computation and "" for memory requirements, where represents the number of observations. This limitation becomes unfeasible for many problems when "" is large. In this thesis, we investigate the Karhunen-Loève expansion of Gaussian processes, which offers several advantages over low-rank compression techniques. By truncating the Karhunen-Loève expansion, we obtain an explicit low-rank approximation of the covariance matrix (Gram matrix), greatly simplifying statistical inference when the number of truncations is small relative to .We then provide explicit solutions for low complexity Gaussian processes. We seek Karhunen-Loève expansions, by solving for eigenpaires of a differential operator where the covariance function serves as the Green function. We offer explicit solutions for the Matérn differential operator and for differential operators with eigenfunctions represented by classical polynomials. In the experimental section, we compare our proposed methods with alternative approaches, revealing their enhanced capability in capturing intricate patterns.Constrained Gaussian processes:This thesis introduces a novel approach used constrained Gaussian processes to approximate a density function based on observations. To address these constraints, our approach involves modeling square root of unknown density function realized as a Gaussian process. In this work, we adopt a truncated version of the Karhunen-Loève expansion as the approximation method. A notable advantage of this approach is that the coefficients are Gaussian and independent, with the constraints on the realized functions entirely dictated by the constraints on the random coefficients. After conditioning on both available data and constraints, the posterior distribution of the coefficients is a normal distribution constrained to the unit sphere. This distribution poses analytical intractability, necessitating numerical methods for approximation. To this end, this thesis employs spherical Hamiltonian Monte Carlo (HMC). The efficacy of the proposed framework is validated through a series of experiments, with performance comparisons against alternative methods.Transfer learning on the manifold of finite probability measures:Finally, we introduce transfer learning models in the space of finite probability measures, denoted as "". In our investigation, we endow the space "" with the Fisher-Rao metric, transforming it into a Riemannian manifold. This Riemannian manifold, "", holds a significant place in Information Geometry and has numerous applications. Within this thesis, we provide detailed formulas for geodesics, the exponential map, the log map, and parallel transport on "".Our exploration extends to statistical models situated within "", typically conducted within the tangent space of this manifold. With a comprehensive set of geometric tools, we introduce transfer learning models facilitating knowledge transfer between these tangent spaces. Detailed algorithms for transfer learning encompassing Principal Component Analysis (PCA) and linear regression models are presented. To substantiate these concepts, we conduct a series of experiments, offering empirical evidence of their efficacy
Interview with Samir Abdel Baqi
No full textمقابلة مع الشاعر الغنائي وكاتب المسرح وأدب الأطفال المصري، سمير عبد الباقى، يناقش فيها أعماله الشعرية مثل "كلام من القلب،" و"أغنيات الإيدين السمرة." ويقرأ بصوته من أشعاره، كما يتحدث عن بداياته في كتابة الشعر العامي، وتأثره بأستاذه الشيخ علي سعود، والشاعر صلاح جاهين. قام بالمقابلة حسن شمس الدين.An interview with Egyptian lyric poet, playwright, and author of children's literature, Samir Abdel-Baqi, in which he discusses his poet work such as "speech From The Heart," and recites some of his poems. He also discusses how he started writing colloquial poetry, and of being influenced by his teacher, Sheikh Ali Saud, and the poet Salah Jaheen. The interview was conducted by Hassan Shams Al-Din
Interview with Samir Abdel Baqi
No full textمقابلة مع الشاعر الغنائي وكاتب المسرح وأدب الأطفال المصري، سمير عبد الباقى، يناقش فيها تجربته لكتابة أدب الطفل والإنفتاح والبراءة التي تكتنف تلك التجربة. ويذكر من قصصه للأطفال قصة "حباية قمح،" التي قرأها بصوته، كما يتحدث عن أعماله بمسرح العرائس ومنها "قرص عسل،" و"أرنب فوق العادة." وأخيراً، يناقش كتاباته للمسرح القومي مثل مسرحيات "مقالب عطيات،" و"الجميزة." قام بالمقابلة حسن شمس الدين.An interview with Egyptian lyric poet, playwright, and author of children's literature, Samir Abdel-Baqi, in which he discusses his experience of writing children's literature and the openness and innocence that accompany it. He also discusses some of his works, such as “Grain of Wheat,” which he reads parts of it in his own voice, and mentions some of his work in the puppet theater, including “Honeycomb” and “The Extraordinary Rabbit.” Finally, he talks about his work for the National Theater, such as the plays "Attiyat's Pranks," and "Gemmayzeh." The interview was conducted by Hassan Shams Al-Din
Dimensionnement et calcul de courant de court circuit d'un transformateur triphasé 100 KVA, 30KV/0.4KV
No full text95 f. : ill. ; 30 cm. (+ CD-Rom)Le but de notre travail est le dimensionnement d’un transformateur de distribution immergé dans l’huile, de puissance apparente 100 kVA, de tension primaire 30kV et secondaire de 0,4kV. Nous allons effectuer un calcul préliminaire en se basant sur le cahier des charges; par la suite, et avec les dimensions initiales, nous allons calculer les différentes contraintes (électriques, magnétiques et thermiques) qui doivent être inférieures aux valeurs admissibles fixées par les normes. En outre, les résultats doivent être situés dans les limites admissibles établies par des essais sur d’autres machines existantes. Dans le cas contraire, des corrections sont nécessaires pour certains paramètres jusqu’à obtention d’une variante répondant aux normes en vigueur et aux conditions de cahier des charges
Erratum for “Protective role of allicin (diallyl thiosulfinate) on cell surface glycoconjugate moieties in 7,12- dimethylbenz(a) anthracene-induced oral carcinogenesis”
No full textJin et al Trop J Pharm Res 2017, 16(8): 1797-1804 http://dx.doi.org/10.4314/tjpr.v16i8.7The name and address of the second author, Samir Qiblawi, were inadvertently omitted in earlier published article.Citation: Dhanarasu S, Qiblawi S. Protective role of allicin (diallyl thiosulfinate) on cell surface glycoconjugate moieties in 7,12-dimethylbenz(a) anthracene-induced oral carcinogenesis. Trop J Pharm Res 2017; 16(8):1797-1804 Erratum: 2017; 16(9):2055 http://dx.doi.org/10.4314/tjpr.v16i9.
Managing today's news media : audience first /
No full textThe business of journalism is in the midst of massive change. Managing Today's News Media: Audience First offers practical solutions on how to cope with and adapt to the evolving media landscape. News media experts Samir Husni, Debora Halpern Wenger, and Hank Price introduce a forward-looking framework for understanding why change is occurring and what it means to the business of journalism. Central to this new paradigm is a focus on the audience. The authors introduce "The 4Cs Strategy" to describe how customers, control, choice, and change are all part of a strategy for successful media organizations. Every chapter in the book relates to one or more of these four key principles: * Customer - Each platform must offer a unique experience to the customer. ...Includes bibliographical references (pages 203-210) and index.The business of journalism is in the midst of massive change. Managing Today's News Media: Audience First offers practical solutions on how to cope with and adapt to the evolving media landscape. News media experts Samir Husni, Debora Halpern Wenger, and Hank Price introduce a forward-looking framework for understanding why change is occurring and what it means to the business of journalism. Central to this new paradigm is a focus on the audience. The authors introduce "The 4Cs Strategy" to describe how customers, control, choice, and change are all part of a strategy for successful media organizations. Every chapter in the book relates to one or more of these four key principles: * Customer - Each platform must offer a unique experience to the customer. ...Description based on MARC record for print version
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