Zobrazeno 1 - 10
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pro vyhledávání: '"Davies, Matthew"'
Autor:
Picard, Raphaël, Davies, Matthew W.
If primordial scalar or tensor perturbations are enhanced on short scales, it may lead to the production of observable gravitational wave signals. These waves may be sourced by scalar-scalar, scalar-tensor or tensor-tensor interactions. Typically, mo
Externí odkaz:
http://arxiv.org/abs/2410.17819
We introduce VEMOCLAP: Video EMOtion Classifier using Pretrained features, the first readily available and open-source web application that analyzes the emotional content of any user-provided video. We improve our previous work, which exploits open-s
Externí odkaz:
http://arxiv.org/abs/2410.21303
Publikováno v:
Expert Systems with Applications 258 (2024) 125209
We introduce a novel method for movie genre classification, capitalizing on a diverse set of readily accessible pretrained models. These models extract high-level features related to visual scenery, objects, characters, text, speech, music, and audio
Externí odkaz:
http://arxiv.org/abs/2410.19760
Publikováno v:
JCAP04(2024)050
Single-field models of inflation might lead to amplified scalar fluctuations on small scales due, for example, to a transient ultra-slow-roll phase. It was argued by Kristiano $\&$ Yokoyama in arXiv:2211.03395 that the enhanced amplitude of the scala
Externí odkaz:
http://arxiv.org/abs/2312.05694
To model the periodicity of beats, state-of-the-art beat tracking systems use "post-processing trackers" (PPTs) that rely on several empirically determined global assumptions for tempo transition, which work well for music with a steady tempo. For ex
Externí odkaz:
http://arxiv.org/abs/2308.10355
Self-supervision methods learn representations by solving pretext tasks that do not require human-generated labels, alleviating the need for time-consuming annotations. These methods have been applied in computer vision, natural language processing,
Externí odkaz:
http://arxiv.org/abs/2304.06868
For expressive music, the tempo may change over time, posing challenges to tracking the beats by an automatic model. The model may first tap to the correct tempo, but then may fail to adapt to a tempo change, or switch between several incorrect but p
Externí odkaz:
http://arxiv.org/abs/2210.06817