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CVPR
2008
IEEE
16 years 7 months ago
Structure-perceptron learning of a hierarchical log-linear model
In this paper, we address the problems of deformable object matching (alignment) and segmentation with cluttered background. We propose a novel hierarchical log-linear model (HLLM...
Long Zhu, Yuanhao Chen, Xingyao Ye, Alan L. Yuille
139
Voted
IJCNN
2007
IEEE
15 years 11 months ago
Two-stage Multi-class AdaBoost for Facial Expression Recognition
— Although AdaBoost has achieved great success, it still suffers from following problems: (1) the training process could be unmanageable when the number of features is extremely ...
Hongbo Deng, Jianke Zhu, Michael R. Lyu, Irwin Kin...
CVPR
2005
IEEE
15 years 10 months ago
Jensen-Shannon Boosting Learning for Object Recognition
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
ICIP
2001
IEEE
16 years 6 months ago
Category-based image retrieval
This work presents a novel approach to content-based image retrieval in categorical multimedia databases. The images are indexed using a combination of text and content descriptor...
Shawn D. Newsam, Baris Sumengen, B. S. Manjunath
138
Voted
ICDAR
2009
IEEE
15 years 2 months ago
Italic or Roman: Word Style Recognition without A Priori Knowledge for Old Printed Documents
This paper presents an Italic/Roman word type recognition system without a priori knowledge on the characters' font. This method aims at analyzing old documents in which char...
Loris Eynard, Hubert Emptoz