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Action Recognition from One Example
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011We present a novel action recognition method based on space-time locally adaptive regression kernels and the matrix cosine similarity measure. The proposed method uses a single example of an action as a query to find similar matches. It does not require prior knowledge about actions, foreground/background segmentation, or any motion estimation or ...
Hae Jong, Seo, Peyman, Milanfar
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2015
For many machine learning and pattern recognition tasks, most of the data are high dimensional, such as human action videos. Vectorization of action video is one common approach to dealing with the high dimensionality issue. However, the vectorization process requires a huge amount of memory, and it is also very time consuming ...
Chengcheng Jia, Wei Pang, Yun Fu
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For many machine learning and pattern recognition tasks, most of the data are high dimensional, such as human action videos. Vectorization of action video is one common approach to dealing with the high dimensionality issue. However, the vectorization process requires a huge amount of memory, and it is also very time consuming ...
Chengcheng Jia, Wei Pang, Yun Fu
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Recognition in action: DNA mimicry
Journal of Molecular Recognition, 2005AbstractProteins that mimic DNA present a surface that is similar in shape and chemical character to the DNA double helix. These DNA mimics bind to DNA‐binding proteins, taking the place of DNA. Natural DNA mimics play roles in genetic regulation and defense. Copyright © 2005 John Wiley & Sons, Ltd.
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Preliminary Action Recognition
Journal of the Japan Society for Precision Engineering, 2023Yasufumi KAWANO +4 more
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2011
The scope of this chapter is contextual information in analysis of human actions. We first discuss the definition of context in visual action recognition. Context in action recognition is here divided into four categories, object context, scene context, semantic context, and photogrammetric context.
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The scope of this chapter is contextual information in analysis of human actions. We first discuss the definition of context in visual action recognition. Context in action recognition is here divided into four categories, object context, scene context, semantic context, and photogrammetric context.
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
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