Category Constrained Learning Model for Scene Classification
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概要
- 論文の詳細を見る
- 2009-02-01
著者
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Tang Yingjun
Institute Of Computer Science And Engineering Beijing Jiaotong University
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TANG Yingjun
School of Computer and Information Technology, Beijing Jiaotong University
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XU De
School of Computer and Information Technology, Beijing Jiaotong University
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GU Guanghua
Institute of Information Science and Engineering, Yanshan University
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LIU Shuoyan
School of Computer and Information Technology, Beijing Jiaotong University
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Xu De
Beijing Jiaotong Univ. Beijing Chn
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Gu Guanghua
Institute Of Information Science And Engineering Yanshan University
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Liu Shuoyan
Institute Of Computer Science And Engineering Beijing Jiaotong University
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Liu Shouyan
Institute Of Computer Science And Engineering Beijing Jiaotong University
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Liu Shuoyan
School Of Computer And Information Technology Beijing Jiaotong University
関連論文
- Color Constancy Based on Image Similarity
- How the Number of Interest Points Affect Scene Classification
- Category Constrained Learning Model for Scene Classification
- Natural Scene Classification Based on Integrated Topic Simplex
- Combining Attention Model with Hierarchical Graph Representation for Region-Based Image Retrieval
- A Multi-Scale Adaptive Grey World Algorithm(Image Recognition, Computer Vision)
- Adaptively Combining Local with Global Information for Natural Scenes Categorization
- Adaptive Non-linear Intensity Mapping Based Salient Region Extraction
- Modeling Bottom-Up Visual Attention for Color Images
- Color Constancy Based on Effective Regions
- Multi-Scale Multi-Level Generation Model in Scene Classification
- Discriminating Semantic Visual Words for Scene Classification
- Scene Categorization with Classified Codebook Model
- Global-Context Based Salient Region Detection in Nature Images