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Descrizione libro Paperback. Condizione: New. Codice articolo 6666-LBR-9783030256166
Descrizione libro Condizione: New. Codice articolo 42242525-n
Descrizione libro Condizione: New. Codice articolo 42242525-n
Descrizione libro Soft Cover. Condizione: new. Codice articolo 9783030256166
Descrizione libro paperback. Condizione: New. Language: ENG. Codice articolo 9783030256166
Descrizione libro Condizione: New. Codice articolo ABLIING23Mar3113020011376
Descrizione libro Condizione: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. Codice articolo ria9783030256166_lsuk
Descrizione libro Paperback. Condizione: Brand New. 152 pages. 9.25x6.10x0.36 inches. In Stock. This item is printed on demand. Codice articolo __3030256162
Descrizione libro PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo DB-9783030256166
Descrizione libro Taschenbuch. Condizione: Neu. Neuware -The problem of dealing with missing or incomplete data in machine learning and computer vision arises in many applications. Recent strategies make use of generative models to impute missing or corrupted data. Advances in computer vision using deep generative models have found applications in image/video processing, such as denoising, restoration, super-resolution, or inpainting.Inpainting and Denoising Challenges comprises recent efforts dealing with image and video inpainting tasks. This includes winning solutions to the ChaLearn Looking at People inpainting and denoising challenges: human pose recovery, video de-captioning and fingerprint restoration.This volume starts with a wide review on image denoising, retracing and comparing various methods from the pioneer signal processing methods, to machine learning approaches with sparse and low-rank models, and recent deep learning architectures with autoencoders and variants. The following chapters present results from the Challenge, including three competition tasks at WCCI and ECML 2018. The top best approaches submitted by participants are described, showing interesting contributions and innovating methods. The last two chapters propose novel contributions and highlight new applications that benefit from image/video inpainting. 152 pp. Englisch. Codice articolo 9783030256166