BOOK-CHAPTER

Semi-supervised Image Classification Learning Based on Random Feature Subspace

Liu LiZhang Hua-xiangXiaojun HuFeifei Sun

Year: 2014 Communications in computer and information science Pages: 237-242   Publisher: Springer Science+Business Media
Keywords:
Pattern recognition (psychology) Artificial intelligence Subspace topology Computer science Linear subspace Feature vector Gabor filter Feature (linguistics) Robustness (evolution) Support vector machine Entropy (arrow of time) Random forest Contextual image classification Image texture Feature extraction Image (mathematics) Mathematics Image processing

Metrics

3
Cited By
1.06
FWCI (Field Weighted Citation Impact)
15
Refs
0.79
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Remote Sensing and Land Use
Physical Sciences →  Earth and Planetary Sciences →  Atmospheric Science
Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Processing Techniques and Applications
Physical Sciences →  Engineering →  Media Technology

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