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ASPDAC
1999
ACM
122views Hardware» more  ASPDAC 1999»
15 years 2 months ago
A Clustering Based Linear Ordering Algorithm for K-Way Spectral Partitioning
The spectral method can lead to a high quality of multi-way partition due to its ability to capture global netlist information. For spectral partition, n netlist modules are mappe...
Shiuann-Shiuh Lin, Wen-Hsin Chen, Wen-Wei Lin, Tin...
JCC
2007
127views more  JCC 2007»
14 years 10 months ago
Prediction of GFP spectral properties using artificial neural network
Abstract: In this study, we applied artificial neural network, implementing the backpropagation algorithm, for the prediction of the excitation and emission maxima of green fluores...
Chanin Nantasenamat, Chartchalerm Isarankura-Na-Ay...
PAMI
2010
192views more  PAMI 2010»
14 years 8 months ago
Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA
—A new formulation for multiway spectral clustering is proposed. This method corresponds to a weighted kernel principal component analysis (PCA) approach based on primal-dual lea...
Carlos Alzate, Johan A. K. Suykens
TASLP
2010
109views more  TASLP 2010»
14 years 4 months ago
Multipitch Estimation of Piano Sounds Using a New Probabilistic Spectral Smoothness Principle
Abstract--A new method for the estimation of multiple concurrent pitches in piano recordings is presented. It addresses the issue of overlapping overtones by modeling the spectral ...
Valentin Emiya, Roland Badeau, Bertrand David
TMI
2010
164views more  TMI 2010»
14 years 4 months ago
Robust Reconstruction of MRSI Data Using a Sparse Spectral Model and High Resolution MRI Priors
We introduce a novel algorithm to address the challenges in magnetic resonance (MR) spectroscopic imaging. In contrast to classical sequential data processing schemes, the proposed...
Ramin Eslami, Mathews Jacob