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» Missing Data Estimation Using Polynomial Kernels
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105
Voted
CVPR
2008
IEEE
16 years 2 months ago
Image partial blur detection and classification
In this paper, we propose a partially-blurred-image classification and analysis framework for automatically detecting images containing blurred regions and recognizing the blur ty...
Renting Liu, Zhaorong Li, Jiaya Jia
146
Voted
IEEEPACT
2009
IEEE
14 years 10 months ago
Cache Sharing Management for Performance Fairness in Chip Multiprocessors
Resource sharing can cause unfair and unpredictable performance of concurrently executing applications in Chip-Multiprocessors (CMP). The shared last-level cache is one of the mos...
Xing Zhou, Wenguang Chen, Weimin Zheng
NIPS
1998
15 years 1 months ago
Maximum Conditional Likelihood via Bound Maximization and the CEM Algorithm
We present the CEM (Conditional Expectation Maximization) algorithm as an extension of the EM (Expectation Maximization) algorithm to conditional density estimation under missing ...
Tony Jebara, Alex Pentland
116
Voted
ICDM
2008
IEEE
176views Data Mining» more  ICDM 2008»
15 years 7 months ago
Inlier-Based Outlier Detection via Direct Density Ratio Estimation
We propose a new statistical approach to the problem of inlier-based outlier detection, i.e., finding outliers in the test set based on the training set consisting only of inlier...
Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi...
110
Voted
ECCV
2010
Springer
15 years 5 months ago
Single Image Deblurring Using Motion Density Functions
Abstract. We present a novel single image deblurring method to estimate spatially non-uniform blur that results from camera shake. We use existing spatially invariant deconvolution...