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  1. 5 giorni fa · The Anomaly (Penguin Books, 2022, translated from the original French by Adriana Hunter; originally published as L’Anomalie, Éditions Gallimard, Paris, 2020) includes a wide array of characters for an author to have to juggle (Le Tellier makes passing reference to questioning just how many characters an author can reasonably sustain, in an almost self-conscious reflex, at one stage), who ...

  2. 1 giu 2024 · Hervé Le Telliers latest novel, The Anomaly, won the Prix Goncourt in 2020, putting him in the select company of Marcel Proust (1919), André Malraux (1933), Simone de Beauvoir (1954), Romain Gary (1956), and Marguerite Duras (1984).

  3. 18 mag 2024 · Definition of Anomaly. An ANOMALY is any violation of the Principle of Oneness. It could be a discontinuity (missing data), an inconsistency (contradictory data), or a disharmony (arbitrary data). An anomaly in one’s viewpoint is more like a misconception.

  4. 30 mag 2024 · A data anomaly is any deviation or irregularity in a dataset that does not conform to expected patterns or behaviors. These anomalies can manifest in various forms, such as outliers, unexpected patterns, or errors. The importance of detecting and addressing data anomalies cannot be overstated.

  5. 23 mag 2024 · In this paper, we introduce a minimalistic reconstruction-based anomaly detection framework, namely Dinomaly, which leverages pure Transformer architectures without relying on complex designs, additional modules, or specialized tricks.

  6. pypi.org › project › anomalibanomalib · PyPI

    31 mag 2024 · Simple and modular API and CLI for training, inference, benchmarking, and hyperparameter optimization. The largest public collection of ready-to-use deep learning anomaly detection algorithms and benchmark datasets.

  7. 29 mag 2024 · Anomaly Detection focuses on identifying samples that deviate from the norm. When working with high-dimensional data such as images, a crucial requirement for detecting anomalous patterns is learning lower-dimensional representations that capture normal concepts seen during training.

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