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» Feature versus model based noise robustness
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CVPR
2007
IEEE
14 years 10 months ago
Eigenboosting: Combining Discriminative and Generative Information
A major shortcoming of discriminative recognition and detection methods is their noise sensitivity, both during training and recognition. This may lead to very sensitive and britt...
Helmut Grabner, Peter M. Roth, Horst Bischof
IJCV
2007
146views more  IJCV 2007»
13 years 7 months ago
Image-Based Modeling by Joint Segmentation
The paper first traces the image-based modeling back to feature tracking and factorization that have been developed in the group led by Kanade since the eighties. Both feature tra...
Long Quan, Jingdong Wang, Ping Tan, Lu Yuan
CVPR
2008
IEEE
13 years 8 months ago
Intensity statistics-based HSI diffusion for color photo denoising
This paper presents a new image denoising model for real color photo noise removal. Our model is implemented in the hue, saturation and intensity (HSI) space. The hue and saturati...
Lei He, Chunming Li, Chenyang Xu
VLSID
2005
IEEE
126views VLSI» more  VLSID 2005»
14 years 8 months ago
Exact Analytical Equations for Predicting Nonlinear Phase Errors and Jitter in Ring Oscillators
In this paper, we present a simple analytical equation for capturing phase errors in 3-stage ring oscillators. The model, based on a simple but useful idealization of the ring osc...
Jaijeet S. Roychowdhury
CVPR
2008
IEEE
14 years 10 months ago
One step beyond histograms: Image representation using Markov stationary features
This paper proposes a general framework called Markov stationary features (MSF) to extend histogram based features. The MSF characterizes the spatial co-occurrence of histogram pa...
Jianguo Li, Weixin Wu, Tao Wang, Yimin Zhang