Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Alakuijala, Jyrki"'
Autor:
Arcas, Blaise Agüera y, Alakuijala, Jyrki, Evans, James, Laurie, Ben, Mordvintsev, Alexander, Niklasson, Eyvind, Randazzo, Ettore, Versari, Luca
The fields of Origin of Life and Artificial Life both question what life is and how it emerges from a distinct set of "pre-life" dynamics. One common feature of most substrates where life emerges is a marked shift in dynamics when self-replication ap
Externí odkaz:
http://arxiv.org/abs/2406.19108
We performed pairwise comparisons by human raters of JPEG images from MozJPEG, libjpeg-turbo and our new Jpegli encoder. When compressing images at a quality similar to libjpeg-turbo quality 95, the Jpegli images were 54% likely to be preferred over
Externí odkaz:
http://arxiv.org/abs/2403.18589
Autor:
Fischbacher, Thomas, Comsa, Iulia M., Potempa, Krzysztof, Firsching, Moritz, Versari, Luca, Alakuijala, Jyrki
We present a novel machine learning architecture that uses the exponential of a single input-dependent matrix as its only nonlinearity. The mathematical simplicity of this architecture allows a detailed analysis of its behaviour, providing robustness
Externí odkaz:
http://arxiv.org/abs/2008.03936
Autor:
Rhatushnyak, Alexander, Wassenberg, Jan, Sneyers, Jon, Alakuijala, Jyrki, Vandevenne, Lode, Versari, Luca, Obryk, Robert, Szabadka, Zoltan, Kliuchnikov, Evgenii, Comsa, Iulia-Maria, Potempa, Krzysztof, Bruse, Martin, Firsching, Moritz, Khasanova, Renata, van Asseldonk, Ruud, Boukortt, Sami, Gomez, Sebastian, Fischbacher, Thomas
JPEG XL is a practical approach focused on scalable web distribution and efficient compression of high-quality images. It provides various benefits compared to existing image formats: 60% size reduction at equivalent subjective quality; fast, paralle
Externí odkaz:
http://arxiv.org/abs/1908.03565
Autor:
Comsa, Iulia M., Potempa, Krzysztof, Versari, Luca, Fischbacher, Thomas, Gesmundo, Andrea, Alakuijala, Jyrki
The timing of individual neuronal spikes is essential for biological brains to make fast responses to sensory stimuli. However, conventional artificial neural networks lack the intrinsic temporal coding ability present in biological networks. We prop
Externí odkaz:
http://arxiv.org/abs/1907.13223
Algorithms that rely on a pseudorandom number generator often lose their performance guarantees when adversaries can predict the behavior of the generator. To protect non-cryptographic applications against such attacks, we propose 'strong' pseudorand
Externí odkaz:
http://arxiv.org/abs/1810.02227
In various Computer Vision and Signal Processing applications, noise is typically perceived as a drawback of the image capturing system that ought to be removed. We, on the other hand, claim that image noise, just as texture, is important for visual
Externí odkaz:
http://arxiv.org/abs/1803.09165
Autor:
Alakuijala, Jyrki, Obryk, Robert, Stoliarchuk, Ostap, Szabadka, Zoltan, Vandevenne, Lode, Wassenberg, Jan
Guetzli is a new JPEG encoder that aims to produce visually indistinguishable images at a lower bit-rate than other common JPEG encoders. It optimizes both the JPEG global quantization tables and the DCT coefficient values in each JPEG block using a
Externí odkaz:
http://arxiv.org/abs/1703.04421
We report on pairwise comparisons by human raters of JPEG images from libjpeg and our new Guetzli encoder. Although both files are size-matched, 75% of ratings are in favor of Guetzli. This implies the Butteraugli psychovisual image similarity metric
Externí odkaz:
http://arxiv.org/abs/1703.04416
HighwayHash is a new pseudo-random function based on SIMD multiply and permute instructions for thorough and fast hashing. It is 5.2 times as fast as SipHash for 1 KiB inputs. An open-source implementation is available under a permissive license. We
Externí odkaz:
http://arxiv.org/abs/1612.06257