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» The Use of Residuals in Image Denoising
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CORR
2010
Springer
108views Education» more  CORR 2010»
13 years 6 months ago
Affine Invariant, Model-Based Object Recognition Using Robust Metrics and Bayesian Statistics
We revisit the problem of model-based object recognition for intensity images and attempt to address some of the shortcomings of existing Bayesian methods, such as unsuitable prior...
Vasileios Zografos, Bernard F. Buxton
ICIP
2006
IEEE
14 years 10 months ago
An Efficient and Low-Delay Mctf Partitioning
In this paper, we compute the residual energy of predictive frames (i.e., unidirectional and bidirectional motion prediction) by using the autocorrelation between successive video...
Liyang Xu, Sunil Kumar
ICIP
2005
IEEE
14 years 10 months ago
Stochastic frame buffers for rate distortion optimized loss resilient video communications
In this paper we propose an error control scheme for video communications over lossy channels. The proposed algorithm uses stochastic frame buffers(SFB) to determine the expected ...
Oztan Harmanci, A. Murat Tekalp
ECCV
2006
Springer
14 years 10 months ago
Unsupervised Patch-Based Image Regularization and Representation
A novel adaptive and patch-based approach is proposed for image regularization and representation. The method is unsupervised and based on a pointwise selection of small image patc...
Charles Kervrann, Jérôme Boulanger
KDD
2012
ACM
183views Data Mining» more  KDD 2012»
11 years 11 months ago
Mining discriminative components with low-rank and sparsity constraints for face recognition
This paper introduces a novel image decomposition approach for an ensemble of correlated images, using low-rank and sparsity constraints. Each image is decomposed as a combination...
Qiang Zhang, Baoxin Li