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Neighbour feature attention-based pooling

Neurocomputing, 2022
Xiaosong Li   +4 more
openaire   +1 more source

Using Semantic Features for Enhancing Car Pooling System

2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018
Nowadays 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
openaire   +1 more source

MPL-Boosted Integrable Features Pool for pedestrian detection

2011 18th IEEE International Conference on Image Processing, 2011
This 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
openaire   +1 more source

Spatial pooling of heterogeneous features for image applications

Proceedings of the 20th ACM international conference on Multimedia, 2012
The 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
openaire   +1 more source

Step-Pool Channel Features

2022
André E. Zimmermann   +3 more
openaire   +1 more source

Spectral Feature Extraction Using Pooling

2023
Arati Paul, Nabendu Chaki
openaire   +1 more source

Weighted Feature Pooling Network in Template-Based Recognition

2019
Many 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
openaire   +1 more source

Pool fire dynamics: Principles, models and recent advances

Progress in Energy and Combustion Science, 2023
Haixiang Chen, Hongmin Zhang
exaly  

A review on fabrication and pool boiling enhancement of three-dimensional complex structures

Renewable and Sustainable Energy Reviews, 2022
Shiwei Zhang, Wei Yuan
exaly  

Pool Features

Journal of Physical Education and Recreation, 1978
openaire   +1 more source

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