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CVPR
2012
IEEE
13 years 7 months ago
Geometry constrained sparse coding for single image super-resolution
The choice of the over-complete dictionary that sparsely represents data is of prime importance for sparse codingbased image super-resolution. Sparse coding is a typical unsupervi...
Xiaoqiang Lu, Haoliang Yuan, Pingkun Yan, Yuan Yua...
IWANN
2005
Springer
15 years 10 months ago
Block LDA for Face Recognition
Linear Discriminant Analysis (LDA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
Vo Dinh Minh Nhat, Sungyoung Lee
BMCBI
2010
116views more  BMCBI 2010»
15 years 4 months ago
FiGS: a filter-based gene selection workbench for microarray data
Background: The selection of genes that discriminate disease classes from microarray data is widely used for the identification of diagnostic biomarkers. Although various gene sel...
Taeho Hwang, Choong-Hyun Sun, Taegyun Yun, Gwan-Su...
146
Voted
MICCAI
2007
Springer
16 years 5 months ago
Characterizing Task-Related Temporal Dynamics of Spatial Activation Distributions in fMRI BOLD Signals
We present a new functional magnetic resonance imaging (fMRI) analysis method that incorporates both spatial and temporal dynamics of bloodoxygen-level dependent (BOLD) signals wit...
Bernard Ng, Rafeef Abugharbieh, Samantha J. Palmer...
146
Voted
SDM
2009
SIAM
162views Data Mining» more  SDM 2009»
16 years 1 months ago
Diversity-Based Weighting Schemes for Clustering Ensembles.
Clustering ensembles has been recently recognized as an emerging approach to provide more robust solutions to the data clustering problem. Current methods of clustering ensembles ...
Andrea Tagarelli, Francesco Gullo, Sergio Greco