Natural Scene Classification Based on Integrated Topic Simplex
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概要
- 論文の詳細を見る
- 2009-09-01
著者
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Yang Xu
Beijing Jiaotong Univ. Beijing Chn
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XU De
Institute of Computer Science and Engineering, Beijing Jiaotong University
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YANG Xu
Institute of Computer Science and Engineering, Beijing Jiaotong University
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TANG Yingjun
Institute of Computer Science and Engineering, Beijing Jiaotong University
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Tang Yingjun
Institute Of Computer Science And Engineering Beijing Jiaotong University
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LIU QIFANG
North China Institute of Computing Technology
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Xu De
Beijing Jiaotong Univ. Beijing Chn
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Xu De
Institute Of Computer & Engineering Beijing Jiaotong University
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Yang Xu
Institute Of Computer Science And Engineering Beijing Jiaotong University
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Tang Yingjun
Institute Of Computer & Engineering Beijing Jiaotong University
関連論文
- Natural Scene Classification Based on Integrated Topic Simplex
- Adaptively Combining Local with Global Information for Natural Scenes Categorization
- Multi-Scale Multi-Level Generative Model in Scene Classification
- 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
- Edge-Based Color Constancy via Support Vector Regression
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- A Multi-Scale Adaptive Grey World Algorithm(Image Recognition, Computer Vision)
- A Novel Tone Mapping Based on Double-Anchoring Theory for Displaying HDR Images
- Adaptively Combining Local with Global Information for Natural Scenes Categorization
- Action Recognition Using Visual-Neuron Feature
- 2D Log-Gabor Wavelet Based Action Recognition
- Adaptive Non-linear Intensity Mapping Based Salient Region Extraction
- Modeling Bottom-Up Visual Attention for Color Images
- A Visual Inpainting Method Based on the Compressed Domain(Image Processing and Video Processing)
- Moving Object Completion on the Compressed Domain
- Color Constancy Based on Effective Regions
- Predicting DataSpace Retrieval Using Probabilistic Hidden Information
- Optimal Gaussian Kernel Parameter Selection for SVM Classifier
- Multi-Scale Multi-Level Generation Model in Scene Classification
- Discriminating Semantic Visual Words for Scene Classification
- A Novel Saliency-Based Graph Learning Framework with Application to CBIR
- Scene Categorization with Classified Codebook Model
- Kernel Optimization Based Semi-Supervised KBDA Scheme for Image Retrieval
- Global-Context Based Salient Region Detection in Nature Images