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157
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CVPR
2012
IEEE
13 years 5 months ago
A codebook-free and annotation-free approach for fine-grained image categorization
Fine-grained categorization refers to the task of classifying objects that belong to the same basic-level class (e.g. different bird species) and share similar shape or visual app...
Bangpeng Yao, Gary R. Bradski, Fei-Fei Li
ICIP
2006
IEEE
16 years 4 months ago
Generalized Histogram Equalization Based on Local Characteristics
From time to time, state-of-the-art contrast enhancement algorithms face undesired drawbacks, like loss of tiny details, enhancement of image noise, occasional overenhancement, an...
Tzu-Cheng Jen, Sheng-Jyh Wang
114
Voted
CVPR
2009
IEEE
15 years 9 months ago
Trajectory parsing by cluster sampling in spatio-temporal graph
The objective of this paper is to parse object trajectories in surveillance video against occlusion, interruption, and background clutter. We present a spatio-temporal graph (ST-G...
Xiaobai Liu, Liang Lin, Song Chun Zhu, Hai Jin
116
Voted
CIDM
2009
IEEE
15 years 9 months ago
Diversity analysis on imbalanced data sets by using ensemble models
— Many real-world applications have problems when learning from imbalanced data sets, such as medical diagnosis, fraud detection, and text classification. Very few minority clas...
Shuo Wang, Xin Yao
ICANN
2009
Springer
15 years 9 months ago
Basis Decomposition of Motion Trajectories Using Spatio-temporal NMF
Abstract. This paper’s intention is to present a new approach for decomposing motion trajectories. The proposed algorithm is based on nonnegative matrix factorization, which is a...
Sven Hellbach, Julian Eggert, Edgar Körner, H...
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