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SBCCI
2003
ACM
129views VLSI» more  SBCCI 2003»
14 years 22 days ago
Hyperspectral Images Clustering on Reconfigurable Hardware Using the K-Means Algorithm
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
Abel Guilhermino S. Filho, Alejandro César ...
CVPR
2010
IEEE
13 years 10 months ago
Discriminative K-SVD for Dictionary Learning in Face Recognition
In a sparse-representation-based face recognition scheme, the desired dictionary should have good representational power (i.e., being able to span the subspace of all faces) while...
Qiang Zhang, Baoxin Li
WACV
2007
IEEE
14 years 1 months ago
Threshold-based 3D Tumor Segmentation using Level Set (TSL)
Three-dimensional segmentation is reliable approach to achieve a proper estimation of tumor volume. Among all possible methods for this purpose, level set can be used as a powerfu...
Sima Taheri, Sim Heng Ong, Vincent Chong
ICC
2007
IEEE
14 years 1 months ago
Design of Single-Group Multicasting-Beamformers
— For the single-group multicast scenario, where K users are served with the same data by a base station equipped with N antennas, we present two beamforming algorithms which out...
Raphael Hunger, David A. Schmidt, Michael Joham, A...
SC
2009
ACM
14 years 2 months ago
Autotuning multigrid with PetaBricks
Algorithmic choice is essential in any problem domain to realizing optimal computational performance. Multigrid is a prime example: not only is it possible to make choices at the ...
Cy P. Chan, Jason Ansel, Yee Lok Wong, Saman P. Am...