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SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
13 years 10 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
WSCG
2003
167views more  WSCG 2003»
13 years 10 months ago
Vector-valued Image Restoration with Applications to Magnetic Resonance Velocity Imaging
The analysis of blood flow patterns and the interaction between salient topological flow features and cardiovascular structure plays an important role in the study of cardiovascul...
Yin-Heung Pauline Ng, Guang-Zhong Yang
BMCBI
2006
140views more  BMCBI 2006»
13 years 9 months ago
Feature selection using Haar wavelet power spectrum
Background: Feature selection is an approach to overcome the 'curse of dimensionality' in complex researches like disease classification using microarrays. Statistical m...
Prabakaran Subramani, Rajendra Sahu, Shekhar Verma
JETC
2008
127views more  JETC 2008»
13 years 7 months ago
Automated module assignment in stacked-Vdd designs for high-efficiency power delivery
With aggressive reductions in feature sizes and the integration of multiple functionalities on the same die, bottlenecks due to I/O pin limitations have become a severe issue in to...
Yong Zhan, Sachin S. Sapatnekar
CORR
2010
Springer
139views Education» more  CORR 2010»
13 years 4 months ago
On Communication over Unknown Sparse Frequency-Selective Block-Fading Channels
The problem of reliable communication over unknown frequency-selective block-fading channels with sparse impulse responses is considered. In particular, discrete-time impulse respo...
Arun Pachai Kannu, Philip Schniter