Results 21 to 30 of about 172,276 (298)
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Cai, Jin-Yi, Lu, Pinyan
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Computationally Efficient Implementation of Convolution-based Locally Adaptive Binarization Techniques [PDF]
One of the most important steps of document image processing is binarization. The computational requirements of locally adaptive binarization techniques make them unsuitable for devices with limited computing facilities.
A.S. Abutaleb +15 more
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A Context for Complexism: Between Neoliberal Social Thought and Algorithmic Art
Among the many genres of visual art to emerge in the wake of computerisation, the subset of generative or algorithmic art known as complexism seems uniquely keyed to the social and technological mainsprings of everyday life in the twenty-first century ...
Crano Ricky D.
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Algorithmic trading allows investors to avoid emotional and irrational trading decisions and helps them make profits using modern computer technology. In recent years, reinforcement learning has yielded promising results for algorithmic trading.
Deog-Yeong Park, Ki-Hoon Lee
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PURIFY: a new algorithmic framework for next-generation radio-interferometric imaging [PDF]
In recent works, compressed sensing (CS) and convex opti- mization techniques have been applied to radio-interferometric imaging showing the potential to outperform state-of-the-art imaging algorithms in the field.
Carrillo, Rafael E +2 more
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Think the image, don't make it! On algorithmic thinking, art education, and re-coding
In conceptual art, the idea is not only starting point and motivation for the material work, it is often considered the work itself. In algorithmic art, thinking the process of generating the image as one instance of an entire class of images becomes the
Frieder Nake, Susan Grabowski
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Public projects, Boolean functions and the borders of Border's theorem [PDF]
Border's theorem gives an intuitive linear characterization of the feasible interim allocation rules of a Bayesian single-item environment, and it has several applications in economic and algorithmic mechanism design.
Gopalan, Parikshit +2 more
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Data Science in Finance: Challenges and Opportunities
Data science has become increasingly popular due to emerging technologies, including generative AI, big data, deep learning, etc. It can provide insights from data that are hard to determine from a human perspective.
Xianrong Zheng +4 more
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Today, a consistent part of our everyday interaction with art and aesthetic artefacts occurs through digital media, and our preferences and choices are systematically tracked and analyzed by algorithms in ways that are far from transparent.
Arielli, Emanuele
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Background Generative art is created by a system that operates autonomously, or semi-autonomously, rather than directly by the artist. The artist creates the system and establishes parameters that affect the outcome, but the outcome itself emerges from ...
Michael Tempel
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