Results 251 to 260 of about 195,131 (299)
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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
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Spatial Pooling of Heterogeneous Features for Image Classification
IEEE Transactions on Image Processing, 2014In image classification tasks, one of the most successful algorithms is the bag-of-features (BoFs) model. Although the BoF model has many advantages, such as simplicity, generality, and scalability, it still suffers from several drawbacks, including the limited semantic description of local descriptors, lack of robust structures upon single visual ...
Lingxi Xie +3 more
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Additive Manufacturing LettersMelt pool geometry is a deterministic factor affecting the characteristics of metal Additive Manufacturing (AM) components. The wide array of physical and thermal phenomena involved during the formation of the AM melt pool, along with the great variety ...
Mohammad Hossein Mosallanejad +2 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
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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
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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 ...
Jianbo Zheng +4 more
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Global Feature Guided Local Pooling
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019In deep convolutional neural networks (CNNs), local pooling operation is a key building block to effectively downsize feature maps for reducing computation cost as well as increasing robustness against input variation. There are several types of pooling operation, such as average/max-pooling, from which one has to be manually selected for building CNNs.
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Pooling acoustic and lexical features for the prediction of valence
Proceedings of the 19th ACM International Conference on Multimodal Interaction, 2017In this paper, we present an analysis of different multimodal fusion approaches in the context of deep learning, focusing on pooling intermediate representations learned for the acoustic and lexical modalities. Traditional approaches to multimodal feature pooling include: concatenation, element-wise addition, and element-wise multiplication. We compare
Zakaria Aldeneh +3 more
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Spatial pooling of heterogeneous features for image applications
Proceedings of the 20th ACM international conference on Multimedia, 2012The Bag-of-Features (BoF) model has played an important role for image representation in many multimedia applications. It has been extensively applied to many tasks including image classification, image retrieval, scene understanding, and so on. Despite the advantages of this model such as simplicity, efficiency and generality, there are also notable ...
Lingxi Xie, Qi Tian 0001, Bo Zhang 0010
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