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Semantic mapping (statistics)

Known as: Semantic mapping 
Semantic mapping (SM) is a method in statistics for dimensionality reduction that can be used in a set of multidimensional vectors of features to… Expand
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Papers overview

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Highly Cited
2018
Highly Cited
2018
We propose a novel framework called Semantics-Preserving Adversarial Embedding Network (SP-AEN) for zero-shot visual recognition… Expand
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2018
2018
Abstract Multi-view clustering, which explores complementary information between multiple feature sets by consensus grouping, has… Expand
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Highly Cited
2017
Highly Cited
2017
Zero-shot recognition aims to accurately recognize objects of unseen classes by using a shared visual-semantic mapping between… Expand
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Highly Cited
2017
Highly Cited
2017
Like computer vision before, remote sensing has been radically changed by the introduction of deep learning and, more notably… Expand
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Highly Cited
2017
Highly Cited
2017
Visual scene understanding is an important capability that enables robots to purposefully act in their environment. In this paper… Expand
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2016
2016
This work shows how deep learning techniques can benefit to remote sensing. We focus on tasks which are recurrent in Earth… Expand
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2015
2015
  • Cheng Wang, Haojin Yang, C. Meinel
  • IEEE 27th International Conference on Tools with…
  • 2015
  • Corpus ID: 18668904
Cross-Modal mapping plays an essential role in multimedia information retrieval systems. However, most of existing work paid much… Expand
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2012
2012
We present a mobile robot whose goal is to autonomously explore an unknown indoor environment and to build a semantic map… Expand
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2012
2012
  • Y. Li, L. Mei, J. Wang
  • 6th International Conference on New Trends in…
  • 2012
  • Corpus ID: 7677262
The proposal of various electronic learning contents, e.g. remote education or virtual classrooms, has given a powerful impetus… Expand
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2005
2005
This paper reports a study of information retrieval performance using an interface in which documents were represented by objects… Expand
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