Zobrazeno 1 - 10
of 1 046
pro vyhledávání: '"action prediction"'
Autor:
Rosari Naveena Selvan, Minghao Cheng, Sophie Siestrup, Falko Mecklenbrauck, Benjamin Jainta, Jennifer Pomp, Anoushiravan Zahedi, Minija Tamosiunaite, Florentin Wörgötter, Ricarda I. Schubotz
Publikováno v:
NeuroImage, Vol 296, Iss , Pp 120687- (2024)
Even though actions we observe in everyday life seem to unfold in a continuous manner, they are automatically divided into meaningful chunks, that are single actions or segments, which provide information for the formation and updating of internal pr
Externí odkaz:
https://doaj.org/article/d230d796d1474dd0a18f591a7243edd4
Publikováno v:
IEEE Access, Vol 12, Pp 157630-157656 (2024)
In the fast-changing video surveillance area, there exists a critical need for new ways in which the huge and complex data availed from CCTV systems can be correctly analyzed. Most already-existing methods of person detection and video analysis are n
Externí odkaz:
https://doaj.org/article/d0dd9adc9e9b472692a83c5ae5579302
Publikováno v:
Sensors, Vol 24, Iss 20, p 6742 (2024)
Pedestrian action prediction is crucial for many applications such as autonomous driving. However, state-of-the-art methods lack the explainability needed for trustworthy predictions. In this paper, a novel framework called MulCPred is proposed that
Externí odkaz:
https://doaj.org/article/88a16da44c7b4248b2bfd14213117e88
Autor:
Viola Oldrati, Niccolò Butti, Elisabetta Ferrari, Sandra Strazzer, Romina Romaniello, Renato Borgatti, Cosimo Urgesi, Alessandra Finisguerra
Publikováno v:
NeuroImage: Clinical, Vol 41, Iss , Pp 103582- (2024)
Background: Converging evidence points to impairments of the predictive function exerted by the cerebellum as one of the causes of the social cognition deficits observed in patients with cerebellar disorders. Objective: We tested the neurorestorative
Externí odkaz:
https://doaj.org/article/610017c589b4415b9cfe84ebf3e6223c
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 1635-1644 (2023)
A frequent cause of auto accidents is disregarding the proximal traffic of an ego-vehicle during lane changing. Presumably, in a split-second-decision situation we may prevent an accident by predicting the intention of a driver before her action onse
Externí odkaz:
https://doaj.org/article/c9b2379cf02545dc9f3ca9c87ba3f19d
Publikováno v:
Brain Sciences, Vol 14, Iss 2, p 164 (2024)
Previous studies have shown that contextual information may aid in guessing the intention underlying others’ actions in conditions of perceptual ambiguity. Here, we aimed to evaluate the temporal deployment of contextual influence on action predict
Externí odkaz:
https://doaj.org/article/6e8d69a579ec499cb3fc5682216cbffb
Publikováno v:
Algorithms, Vol 17, Iss 1, p 37 (2024)
In recent years, with the rapid advancements in Natural Language Processing (NLP) technologies, large models have become widespread. Traditional reinforcement learning algorithms have also started experimenting with language models to optimize traini
Externí odkaz:
https://doaj.org/article/a59ae43d8429407dbdf8bd10e9ed5e97
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