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PRL
2006
98views more  PRL 2006»
13 years 8 months ago
Data complexity assessment in undersampled classification of high-dimensional biomedical data
Regularized linear classifiers have been successfully applied in undersampled, i.e. small sample size/high dimensionality biomedical classification problems. Additionally, a desig...
Richard Baumgartner, Ray L. Somorjai
KDD
2005
ACM
106views Data Mining» more  KDD 2005»
14 years 9 months ago
Simultaneous optimization of complex mining tasks with a knowledgeable cache
With an increasing use of data mining tools and techniques, we envision that a Knowledge Discovery and Data Mining System (KDDMS) will have to support and optimize for the followi...
Ruoming Jin, Kaushik Sinha, Gagan Agrawal
ICC
2009
IEEE
130views Communications» more  ICC 2009»
14 years 3 months ago
A New Reduced Complexity ML Detection Scheme for MIMO Systems
Abstract— For multiple-input multiple-output (MIMO) systems, the optimum maximum likelihood (ML) detection requires tremendous complexity as the number of antennas or modulation ...
Jin-Sung Kim, Sung Hyun Moon, Inkyu Lee
MIAR
2008
IEEE
14 years 3 months ago
A Surface-Based Fractal Information Dimension Method for Cortical Complexity Analysis
In this paper, we proposed a new surface-based fractal information dimension (FID) method to quantify the cortical complexity. Unlike the traditional box-counting method to measure...
Yuanchao Zhang, Jiefeng Jiang, Lei Lin, Feng Shi, ...
VTC
2006
IEEE
14 years 2 months ago
Complexity-Reduced Iterative MAP Receiver with Partial Sphere Decoding in Spatial Multiplexing System
– In this paper, a partial sphere decoding approach is proposed to reduce the computational complexity of implementing the iterative MAP receiver for spatial multiplexing system,...
Hyung Ho Park, Tae Young Min, Dong Seung Kwon, Chu...