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ICASSP
2011
IEEE
14 years 1 months ago
A multi-exposure image fusion algorithm without ghost effect
This paper proposes a new multi-exposure fusion algorithm for HDR imaging. The advantage of the fusion based method is that it does not actually generate HDR images so that the co...
Jaehyun An, Sang Heon Lee, Jung Gap Kuk, Nam Ik Ch...
NIPS
1997
14 years 11 months ago
EM Algorithms for PCA and SPCA
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
Sam T. Roweis
PVLDB
2008
122views more  PVLDB 2008»
14 years 9 months ago
Exploiting shared correlations in probabilistic databases
There has been a recent surge in work in probabilistic databases, propelled in large part by the huge increase in noisy data sources -from sensor data, experimental data, data fro...
Prithviraj Sen, Amol Deshpande, Lise Getoor
SIAMIS
2011
14 years 4 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
ICDE
2008
IEEE
194views Database» more  ICDE 2008»
15 years 11 months ago
P-Cube: Answering Preference Queries in Multi-Dimensional Space
Many new applications that involve decision making need online (i.e., OLAP-styled) preference analysis with multidimensional boolean selections. Typical preference queries includes...
Dong Xin, Jiawei Han