An Indoor Location Category Recognition Method Using Sparse Coding with KNN Pre-Screening
碩士 === 國立暨南國際大學 === 資訊工程學系 === 99 === In this thesis, we study the indoor location category recognition problem using the sparse coding technique and the linear support vector machines (SVM). The input indoor scene images are represented by the linear spatial pyramid matching method using sparse cod...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2011
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| Online Access: | http://ndltd.ncl.edu.tw/handle/03908522745928301314 |