Meta-learning system for KDD is an open and evolving platform for efficient testing and intelligent recommendation of data mining process. Metalearning is adopted to automate the s...
An important class of problems used widely in both the embedded systems and scientific domains perform memory intensive computations on large data sets. These data sets get to be ...
J. Ramanujam, Satish Krishnamurthy, Jinpyo Hong, M...
by 0. In the discrete Fourier transform (DFT) domain, We propose a hybrid approach to wavelet-based image deconvolution that comprises Fourier-domain system inversion followed by w...
Ramesh Neelamani, Hyeokho Choi, Richard G. Baraniu...
Electrothermal couplings between supply voltage, operating frequency, power dissipation and die temperature have been shown to significantly impact the energy-delay-product (EDP) ...
Anirban Basu, Sheng-Chih Lin, Vineet Wason, Amit M...
Many system-level design tasks (e.g. timing analysis, hardware/software partitioning and design space exploration) involve computational kernels that are intractable (usually NP-ha...