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» A hierarchical model of data locality
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PAMI
2008
161views more  PAMI 2008»
14 years 11 months ago
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
ICIP
2001
IEEE
16 years 20 days ago
Closed surface reconstruction in X-ray tomography
We study the 3D reconstruction of a binary scene from X-ray tomographic data. In the special case of a compact and uniform object lying in a uniform background, the scene is entir...
Ali Mohammad-Djafari, Charles Soussen
ICPP
1996
IEEE
15 years 3 months ago
Polynomial-Time Nested Loop Fusion with Full Parallelism
Data locality and synchronization overhead are two important factors that affect the performance of applications on multiprocessors. Loop fusion is an effective way for reducing s...
Edwin Hsing-Mean Sha, Chenhua Lang, Nelson L. Pass...
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BMCBI
2010
135views more  BMCBI 2010»
14 years 11 months ago
Efficient genome-scale phylogenetic analysis under the duplication-loss and deep coalescence cost models
Background: Genomic data provide a wealth of new information for phylogenetic analysis. Yet making use of this data requires phylogenetic methods that can efficiently analyze extr...
Mukul S. Bansal, J. Gordon Burleigh, Oliver Eulens...
BIBE
2001
IEEE
179views Bioinformatics» more  BIBE 2001»
15 years 2 months ago
Texture-Based 3-D Brain Imaging
Different modalities in biomedical imaging, like CT, MRI and PET scanners, provide detailed crosssectional views of the human anatomy. The imagery obtained from these scanning dev...
Sagar Saladi, Pujita Pinnamaneni, Joerg Meyer