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ICCV
2011
IEEE
14 years 4 months ago
Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...
Matthew D. Zeiler, Graham W. Taylor, Rob Fergus
ICCV
2011
IEEE
14 years 4 months ago
Handling Outliers in Non-Blind Image Deconvolution
Non-blind deconvolution is a key component in image deblurring systems. Previous deconvolution methods assume a linear blur model where the blurred image is generated by a linear ...
Sunghyun Cho, Jue Wang, Seungyong Lee
CANS
2011
Springer
292views Cryptology» more  CANS 2011»
14 years 4 months ago
Breaking Fully-Homomorphic-Encryption Challenges
At EUROCRYPT ’10, van Dijk, Gentry, Halevi and Vaikuntanathan presented simple fully-homomorphic encryption (FHE) schemes based on the hardness of approximate integer common div...
Phong Q. Nguyen
SDM
2012
SIAM
282views Data Mining» more  SDM 2012»
13 years 7 months ago
Citation Prediction in Heterogeneous Bibliographic Networks
To reveal information hiding in link space of bibliographical networks, link analysis has been studied from different perspectives in recent years. In this paper, we address a no...
Xiao Yu, Quanquan Gu, Mianwei Zhou, Jiawei Han
AAAI
2012
13 years 7 months ago
Transfer Learning with Graph Co-Regularization
Transfer learning proves to be effective for leveraging labeled data in the source domain to build an accurate classifier in the target domain. The basic assumption behind transf...
Mingsheng Long, Jianmin Wang 0001, Guiguang Ding, ...