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Multi-modal Monte Carlo MRI simulator of tissue microstructure. [PDF]
Imaging Neurosci (Camb)Cottaar M +4 more
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Dissipative scaling of step-pool features
Flow Measurement and Instrumentation, 2021Abstract This paper focuses on the dissipative similarity of step-pool units at rill, flume and stream scale. This investigation is carried out using recent advances in open channel flow resistance, applications of close-range photogrammetry to rill erosion, available published data on step-pool features in flumes and streams and a new dataset of ...
Costanza Di Stefano +3 more
openaire +1 more source
2021
The choice of effective training regimes, varying the size of the paddle blade, the active use of pedagogical control means, and the inducement of the athlete to conscious self-control can already significantly increase the effectiveness of training in the rowing pool.
F. T. Ikramov, Z. N. Azimov
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The choice of effective training regimes, varying the size of the paddle blade, the active use of pedagogical control means, and the inducement of the athlete to conscious self-control can already significantly increase the effectiveness of training in the rowing pool.
F. T. Ikramov, Z. N. Azimov
openaire +1 more source
Robust Attentional Pooling via Feature Selection
2018 24th International Conference on Pattern Recognition (ICPR), 2018In this paper we propose a novel network module, namely Robust Attentional Pooling (RAP), that potentially can be applied in an arbitrary network for generating single vector representations for classification. By taking a feature matrix for each data sample as the input, our RAP learns data-dependent weights that are used to generate a vector through ...
Jian Zheng +4 more
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2015
In learning-based image quality assessment, images are represented by features with low dimension much less than the size of image. The features can be obtained by the aid of priori knowledge that people have gained; for example, the aforementioned basic and advantage features.
Long Xu, Weisi Lin, C.-C. Jay Kuo
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In learning-based image quality assessment, images are represented by features with low dimension much less than the size of image. The features can be obtained by the aid of priori knowledge that people have gained; for example, the aforementioned basic and advantage features.
Long Xu, Weisi Lin, C.-C. Jay Kuo
openaire +1 more source
Features-Pooling Blind JPEG Image Steganalysis
2008 Digital Image Computing: Techniques and Applications, 2008In this research, we introduce a new blind steganalysis in detecting grayscale JPEG images. Features-pooling method is employed to extract the steganalytic features and the classification is done by using neural network. Three different steganographic models are tested and classification results are compared to the five state-of-the-art blind ...
Leng, Chiew, Pieprzyk, Josef
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