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Results 471-480 of 2278 (Search time: 0.008 seconds).
    • Learning semantic ambiguities for zero-shot learning
    Authors: Celina, Hanouti; Hervé Le, Borgne;  Advisor: -;  Co-Author: - (2023)

    Zero-shot learning (ZSL) aims at recognizing classes for which no visual sample is available at training time. To address this issue, one can rely on a semantic description of each class. A typical ZSL model learns a mapping between the visual samples of seen classes and the corresponding semantic descriptions, in order to do the same on unseen classes at test time. State of the art approaches rely on generative models that synthesize visual features from the prototype of a class, such that a classifier can then be learned in a supervised manner. However, these approaches are usually biased towards seen classes whose visual instances are the only one that can be matched to a given class prototype.
    • Schanuel type conjectures and disjointness
    Authors: Isaac A., Broudy; Sebastian, Eterović;  Advisor: -;  Co-Author: - (2023)

    Given a subfield F of C, we study the linear disjointess of the field E generated by iterated exponentials of elements of F¯¯¯¯, and the field L generated by iterated logarithms, in the presence of Schanuel’s conjecture. We also obtain similar results replacing exp by the modular j-function, under an appropriate version of Schanuel’s conjecture, where linear disjointness is replaced by a notion coming from the action of GL2 on C . We also show that for certain choices of F we obtain unconditional versions of these statements.
    • Extremal metrics on the total space of destabilising test configurations
    Authors: Lars Martin, Sektnan; Cristiano, Spotti;  Advisor: -;  Co-Author: - (2023)

    We construct extremal metrics on the total space of certain destabilising test configurations for strictly semistable Kähler manifolds. This produces infinitely many new examples of manifolds admitting extremal Kähler metrics. It also shows for such metrics a new phenomenon of jumping of the complex structure along fibres.
    • Representation Stability and Finite Orthogonal Groups
    Authors: Arun S., Kannan; Zifan, Wang;  Advisor: -;  Co-Author: - (2023)

    In this paper, we prove homological stability results about orthogonal groups over finite commutative rings where 2 is a unit. Inspired by Putman and Sam (2017), we construct a category OrI(R) and prove a local Noetherianity theorem for the category of OrI(R)-modules. This implies an asymptotic structure theorem for orthogonal groups. In addition, we show general homological stability theorems for orthogonal groups, with both untwisted and twisted coefficients.
    • Deep Convolutional Neural Networks for Detecting COVID-19 Using Medical Images: A Survey
    Authors: Rana, Khattab; Islam R., Abdelmaksoud; Samir, Abdelrazek;  Advisor: -;  Co-Author: - (2023)

    Coronavirus Disease 2019 (COVID-19), which is caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2), surprised the world in December 2019 and has threatened the lives of millions of people. Countries all over the world closed worship places and shops, prevented gatherings, and implemented curfews to stand against the spread of COVID-19. Deep Learning (DL) and Artificial Intelligence (AI) can have a great role in detecting and fighting this disease. Deep learning can be used to detect COVID-19 symptoms and signs from different imaging modalities, such as X-Ray, Computed Tomography (CT), and Ultrasound Images (US). This could help in identifying COVID-19 cases as a first step to curing them. In this paper, we reviewed the research studies conducted from January 2020 t...
    • Intercultural Learning: Critical preparation for international student travel
    Authors: Peter, Jones; Debra, Miles; Narayan, Gopalkrishnan;  Advisor: -;  Co-Author: - (2018)

    Intercultural learning: Critical preparation for international student travel aims to take students beyond practical preparation, to equip them with a critical lens through which to view and understand their international experiences. The book leads students toward a deeper understanding of culture and cultural difference through an exploration of challenging concepts such as imperialism, racism, privilege and intercultural practice. As an adjunct to traditional approaches, the book adds a significant and valuable dimension to the process of preparing students for international study, increasing the potential for meaningful and transformative learning experiences.
    • Optimal dividends under a drawdown constraint and a curious square-root rule
    Authors: Hansjörg, Albrecher; Pablo, Azcue; Nora, Muler;  Advisor: -;  Co-Author: - (2023)

    In this paper, we address the problem of optimal dividend payout strategies from a surplus process governed by Brownian motion with drift under a drawdown constraint, i.e., the dividend rate can never decrease below a given fraction a of its historical maximum. We solve the resulting two-dimensional optimal control problem and identify the value function as the unique viscosity solution of the corresponding Hamilton–Jacobi–Bellman equation. We then derive sufficient conditions under which a two-curve strategy is optimal, and we show how to determine its concrete form using calculus of variations. We establish a smooth-pasting principle and show how it can be used to prove the optimality of two-curve strategies for sufficiently large initial and maximum dividend rates.