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Splenic Red Cell Pooling: A Diagnostic Feature in Polycythaemia
British Journal of Haematology, 1978Summary. Total red cell volumes and splenic red cell pools were measured in 31 patients with polycythaemia. 22 had polycythaemia vera (PV), 12 of whom had clinically detectable splenomegaly, and nine patients had secondary polycythaemia (PS). The mean red cell pool was 192.8ml (SD 126.6) in PV (all cases), and 130.9 ml (SD 28.4ml) in PV without ...
S, Bateman +3 more
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Entropy Based Feature Pooling in Speech Command Classification
2021In this research a novel deep learning architecture is proposed for the problem of speech commands recognition. The problem is examined in the context of internet-of-things where most devices have limited resources in terms of computation and memory.
Christoforos Nalmpantis +4 more
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Feature Description Based on LBP and Order Pooling
2013 International Conference on Virtual Reality and Visualization, 2013A novel local image descriptor named OCLBP(Order based Complete Local Binary Patterns) is proposed in this paper. It firstly extracts CLBP(Complete Local Binary Patterns) features pixel-by-pixel in the local image patch, and then pooled the CLBP features based on order relations of the pixel brightness in the patch.
Lingda Wu, Wei Huang, Yingmei Wei
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Neighbour feature attention-based pooling
Neurocomputing, 2022Xiaosong Li +4 more
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Using Semantic Features for Enhancing Car Pooling System
2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018Nowadays the demand on carpooling system increases due to the need to decrease car crowdedness, saving fuel cost, decrease pollution, etc. Carpooling services depend on combining different passengers in one car who are willing to go to the same place in specific time.
Mena Samy, Abeer Mohamed Elkorany
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MPL-Boosted Integrable Features Pool for pedestrian detection
2011 18th IEEE International Conference on Image Processing, 2011This paper presents a fast and accurate pedestrian detection method. To find a balance between speed and accuracy, we propose a Multi-Pose Learning Boosted Integrable Features Pool (MPL-Boosted IFP) approach. Our method achieves high recall-rate while taking the speed-advantage of cascade-of-rejectors approach. We build different types of feature sets,
Junqiang Wang, Huadong Ma
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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, Bo Zhang
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Weighted Feature Pooling Network in Template-Based Recognition
2019Many computer vision tasks are template-based learning tasks in which multiple instances of a specific concept (e.g. multiple images of a subject’s face) are available at once to the learning algorithm. The template structure of the input data provides an opportunity for generating a robust and discriminative unified template-level representation that ...
Zekun Li +3 more
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