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pro vyhledávání: '"Kilpeläinen TO"'
Deep learning is closing the gap with humans on several object recognition benchmarks. Here we investigate this gap in the context of challenging images where objects are seen from unusual viewpoints. We find that humans excel at recognizing objects
Externí odkaz:
http://arxiv.org/abs/2402.03973
Autor:
Kanerva, Jenna, Ginter, Filip, Chang, Li-Hsin, Rastas, Iiro, Skantsi, Valtteri, Kilpeläinen, Jemina, Kupari, Hanna-Mari, Piirto, Aurora, Saarni, Jenna, Sevón, Maija, Tarkka, Otto
This document describes the annotation guidelines used to construct the Turku Paraphrase Corpus. These guidelines were developed together with the corpus annotation, revising and extending the guidelines regularly during the annotation work. Our para
Externí odkaz:
http://arxiv.org/abs/2108.07499
Autor:
Kanerva, Jenna, Ginter, Filip, Chang, Li-Hsin, Rastas, Iiro, Skantsi, Valtteri, Kilpeläinen, Jemina, Kupari, Hanna-Mari, Saarni, Jenna, Sevón, Maija, Tarkka, Otto
In this paper, we introduce the first fully manually annotated paraphrase corpus for Finnish containing 53,572 paraphrase pairs harvested from alternative subtitles and news headings. Out of all paraphrase pairs in our corpus 98% are manually classif
Externí odkaz:
http://arxiv.org/abs/2103.13103
Autor:
Kilpeläinen, Pekka
We show that testing inclusion between languages represented by regular expressions with numerical occurrence indicators (RE#s) is NP-hard, even if the expressions satisfy the requirement of "unambiguity", which is required for XML Schema content mod
Externí odkaz:
http://arxiv.org/abs/1111.0422
Autor:
Kilpeläinen, Tero
Publikováno v:
Proceedings of the ICM, Beijing 2002, vol. 3, 167--176
This is a survey on problems involving equations $-\operatorname{div}{\Cal A}(x,\nabla u)=\mu$, where $\mu$ is a Radon measure and ${\Cal A}:\bold {R}^n\times\bold R^n\to \bold R^n$ verifies Leray-Lions type conditions. We shall discuss a potential t
Externí odkaz:
http://arxiv.org/abs/math/0304392