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Matthieu Poullet proslijedio/la je Tweet
The sinc and jinc functions https://www.johndcook.com/blog/2012/02/01/jinc-function/ …pic.twitter.com/asZOJyehkE
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Matthieu Poullet proslijedio/la je Tweet
Fourier approximation of a cat. https://xkcd.com/26/ pic.twitter.com/GKGvRAp0qo
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Matthieu Poullet proslijedio/la je Tweet
Distortion Agnostic Deep Watermarking: Using adversarial training and channel coding, we can embed information in an image that can survive un-modeled distortions, while the encoded image has little or no perceptual difference from the original. https://arxiv.org/abs/2001.04580 pic.twitter.com/7sIpm6AXVR
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Matthieu Poullet proslijedio/la je Tweet
#PhysicsFactlet (196) Nyquist–Shannon sampling theorem: In order to reconstruct an unknown signal, you need to sample at at least twice the maximum frequency in the signal, as with fewer sample points you are unable to probe the whole spectrum.pic.twitter.com/4RQrBISO58Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Matthieu Poullet proslijedio/la je Tweet
Economists: "We need to retrain workers so they can adapt to a dynamic economy." Also economists: "I refuse to learn R."
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Matthieu Poullet proslijedio/la je Tweet
Time for some retrospective! I shared some 25 papers that I particularly enjoyed in the last decade. I would love for you to share some papers that are missing in this list (there are many!!), either here or in the comments on the blog.https://blogs.princeton.edu/imabandit/2019/12/30/a-decade-of-fun-and-learning/ …
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Matthieu Poullet proslijedio/la je Tweet
Kalman filter defines recursively an estimator of the parameters of a Gaussian dynamical process. The basic method to control navigation systems. https://en.wikipedia.org/wiki/Kalman_filter …pic.twitter.com/4qhXkhfbir
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Matthieu Poullet proslijedio/la je Tweet
Oldies but goldies: Tibshirani, Robert, Regression Shrinkage and Selection via the lasso, 1996. Introduces l1 regularization as a method for high-dimensional regression. https://en.wikipedia.org/wiki/Lasso_(statistics) …pic.twitter.com/5BAl46eZob
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Matthieu Poullet proslijedio/la je Tweet
Conférence :
#mathématiques et#IntelligenceArtificielle le 9 mars 2020, de 9h à 18h Amphithéâtre du Muséum d’Histoire Naturelle, 40 rue Geoffroy Saint-Hilaire – 75005 Paris https://www.math-ia.fr/ pic.twitter.com/jOeQIDQm7L
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Matthieu Poullet proslijedio/la je Tweet
C'est surtout ouvert à tous et gratuitement. C'est évolutif et les remarques de tous permettront d'améliorer le produit. Merci
@cned à Poitiers de mettre votre expertise au profit de notre pays.@EdouardGeffray@jmblanquerhttps://twitter.com/EducationFrance/status/1208075752559779842 …
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Matthieu Poullet proslijedio/la je Tweet
Solving linear systems comes with different flavors.pic.twitter.com/hp95oDuI79
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Matthieu Poullet proslijedio/la je Tweet
Oldies but goldies: Frank Rosenblatt, The Perceptron-a perceiving and recognizing automaton, 1957. The first appearance of a neural network (single layer), later generalized to multiple layers. https://en.wikipedia.org/wiki/Perceptron pic.twitter.com/Ysm1xdos2R
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Matthieu Poullet proslijedio/la je Tweet
Robust regression is obtained by using a l1 loss in place of least squares. Removes outliers. For d=0, computes the median instead of the mean. https://en.wikipedia.org/wiki/Robust_regression …pic.twitter.com/A77Rt3imkZ
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Matthieu Poullet proslijedio/la je Tweet
Causality For Machine Learning by Bernhard Schölkopf "The article argues that the hard open problems of machine learning and AI are intrinsically related to causality, and explains how the field is beginning to understand them." A review paper with 136 references.https://twitter.com/StatMLPapers/status/1199154400146575360 …
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Matthieu Poullet proslijedio/la je Tweet
The original Unix shell was written by Ken Thompson sometime in 1971. In 1974-1975, John Mashey extended Thompson shell to add programming capabilities, producing Mashey shell. Stephen Bourne started working on a new shell early in 1976, to produce Bourne shellpic.twitter.com/oY0nw3d0lh
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Matthieu Poullet proslijedio/la je Tweet
K-means++ defines a seeding strategy which is approximately optimal up to a logarithmic factor. Running k-means afterward only marginally improves the quantization error (as opposed to bad seeding). http://ilpubs.stanford.edu:8090/778/1/2006-13.pdf …pic.twitter.com/7DtaTZukTU
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Matthieu Poullet proslijedio/la je Tweet
Oldies but goldies: M Elad, JL Starck, P Querre, DL Donoho, Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA). Introduces sparse regularization techniques to perform source separations in images. https://en.wikipedia.org/wiki/Signal_separation …pic.twitter.com/YM7LHEMElK
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Matthieu Poullet proslijedio/la je Tweet
Oldies but goldies: I. Daubechies, Orthonormal bases of compactly supported wavelets, 1988. Defines orthogonal wavelet bases which generalize the Haar basis. The construction is a mathematical gem which uses Bezout theorem. https://fr.wikipedia.org/wiki/Ingrid_Daubechies …pic.twitter.com/jFEAxlLfud
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Matthieu Poullet proslijedio/la je Tweet
Oldies but goldies: Patrick Combettes and Valérie Wajs, 2003. Showed that Iterative Soft Thesholding is an instance of the Forward-Backward algorithm, which enables a refined convergence analysis. https://en.wikipedia.org/wiki/Proximal_operator …pic.twitter.com/zOvtry9hEq
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Matthieu Poullet proslijedio/la je Tweet
Lagrange and Hermite interpolations can be solved in closed form using Lagrange polynomials. https://en.wikipedia.org/wiki/Lagrange_polynomial … https://en.wikipedia.org/wiki/Hermite_interpolation … https://en.wikipedia.org/wiki/Polynomial_interpolation …pic.twitter.com/eqz5CjvAEH
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