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» Kernels for Semi-Structured Data
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112
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ASPLOS
2012
ACM
13 years 8 months ago
Understanding modern device drivers
Device drivers are the single largest contributor to operating-system kernel code with over 5 million lines of code in the Linux kernel, and cause significant complexity, bugs an...
Asim Kadav, Michael M. Swift
151
Voted
CVPR
2009
IEEE
1866views Computer Vision» more  CVPR 2009»
16 years 8 months ago
Understanding and evaluating blind deconvolution algorithms
Blind deconvolution is the recovery of a sharp version of a blurred image when the blur kernel is unknown. Recent algorithms have afforded dramatic progress, yet many aspects of...
Anat Levin, Yair Weiss, Frédo Durand, Willi...
104
Voted
ICML
2009
IEEE
16 years 1 months ago
Geometry-aware metric learning
In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
Zhengdong Lu, Prateek Jain, Inderjit S. Dhillon
79
Voted
ASAP
2009
IEEE
143views Hardware» more  ASAP 2009»
15 years 10 months ago
Scalar Processing Overhead on SIMD-Only Architectures
—The Cell processor consists of a general-purpose core and eight cores with a complete SIMD instruction set. Although originally designed for multimedia and gaming, it is current...
Arnaldo Azevedo Filho, Ben H. H. Juurlink
92
Voted
ICIP
2008
IEEE
15 years 7 months ago
Localized and computationally efficient approach to shift-variant image deblurring
A new localized and computationally efficient approach is presented for shift/space-variant image restoration. Unlike conventional approaches, it models shift-variant blurring in...
Murali Subbarao, Youn-sik Kang, Satyaki Dutta, Xue...