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» On Iterative Regularization and Its Application
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CCGRID
2011
IEEE
14 years 8 months ago
Small Discrete Fourier Transforms on GPUs
– Efficient implementations of the Discrete Fourier Transform (DFT) for GPUs provide good performance with large data sizes, but are not competitive with CPU code for small data ...
S. Mitra, A. Srinivasan
CVPR
2008
IEEE
16 years 6 months ago
Semi-supervised SVM batch mode active learning for image retrieval
Active learning has been shown as a key technique for improving content-based image retrieval (CBIR) performance. Among various methods, support vector machine (SVM) active learni...
Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R....
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
16 years 5 months ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye
DATE
2008
IEEE
182views Hardware» more  DATE 2008»
15 years 11 months ago
A Novel Low Overhead Fault Tolerant Kogge-Stone Adder Using Adaptive Clocking
— As the feature size of transistors gets smaller, fabricating them becomes challenging. Manufacturing process follows various corrective design-for-manufacturing (DFM) steps to ...
Swaroop Ghosh, Patrick Ndai, Kaushik Roy
DATE
2005
IEEE
110views Hardware» more  DATE 2005»
15 years 10 months ago
Yield Enhancement of Digital Microfluidics-Based Biochips Using Space Redundancy and Local Reconfiguration
attributed to the high regularity of memories, PAs and FPGAs, and the ease with which they can be tested and reconfigured to avoid faulty elements. Digital microfluidicsbased bioch...
Fei Su, Krishnendu Chakrabarty, Vamsee K. Pamula