Zobrazeno 1 - 10
of 254
pro vyhledávání: '"Englebienne P"'
Autor:
Heuvel, Leander van den, Burghouts, Gertjan, Zhang, David W., Englebienne, Gwenn, van Rooij, Sabina B.
For object detection, it is possible to view the prediction of bounding boxes as a reverse diffusion process. Using a diffusion model, the random bounding boxes are iteratively refined in a denoising step, conditioned on the image. We propose a stoch
Externí odkaz:
http://arxiv.org/abs/2312.12000
Third-generation artificial neural networks, Spiking Neural Networks (SNNs), can be efficiently implemented on hardware. Their implementation on neuromorphic chips opens a broad range of applications, such as machine learning-based autonomous control
Externí odkaz:
http://arxiv.org/abs/2311.02110
Machine learning systems have become popular in fields such as marketing, financing, or data mining. While they are highly accurate, complex machine learning systems pose challenges for engineers and users. Their inherent complexity makes it impossib
Externí odkaz:
http://arxiv.org/abs/1907.12652
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 494-505 (2023)
Machine learning based sleep scoring methods aim to automate the process of annotating polysomnograms with sleep stages. Although sleep signals of multiple modalities and channels should contain more information according to sleep guidelines, most mu
Externí odkaz:
https://doaj.org/article/3186c5500715484a99232ede22526eea
In this paper, we propose to use deep 3-dimensional convolutional networks (3D CNNs) in order to address the challenge of modelling spectro-temporal dynamics for speech emotion recognition (SER). Compared to a hybrid of Convolutional Neural Network a
Externí odkaz:
http://arxiv.org/abs/1708.05071
One of the challenges in Speech Emotion Recognition (SER) "in the wild" is the large mismatch between training and test data (e.g. speakers and tasks). In order to improve the generalisation capabilities of the emotion models, we propose to use Multi
Externí odkaz:
http://arxiv.org/abs/1708.03920
This work-in-progress paper introduces an interface for the interactive visual exploration of the context of queries using the ArticleFirst database, a product of OCLC. We describe a workflow which allows the user to browse live entities associated w
Externí odkaz:
http://arxiv.org/abs/1503.04358
We present a novel hierarchical model for human activity recognition. In contrast to approaches that successively recognize actions and activities, our approach jointly models actions and activities in a unified framework, and their labels are simult
Externí odkaz:
http://arxiv.org/abs/1503.01820
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