Learning sparse representation via spatio-temporal smoothing for human activity recognition
Recent years have seen popularities of sparse coding in many research fields. One of these fields is computer vision, where sparse coding has been applied in the process of feature quantization and selection. Although the general sparse coding method reduces the complexity of coding process...
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Format: | Theses and Dissertations |
Language: | English |
Published: |
2015
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Online Access: | http://hdl.handle.net/10356/65104 |
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Institution: | Nanyang Technological University |
Language: | English |