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» Computing Small Search Numbers in Linear Time
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RECOMB
2002
Springer
14 years 9 months ago
Deconvolving sequence variation in mixed DNA populations
We present an original approach to identifying sequence variants in a mixed DNA population from sequence trace data. The heart of the method is based on parsimony: given a wildtyp...
Andy Wildenberg, Steven Skiena, Pavel Sumazin
ICC
2007
IEEE
137views Communications» more  ICC 2007»
14 years 3 months ago
Optimality and Complexity of Opportunistic Spectrum Access: A Truncated Markov Decision Process Formulation
— We consider opportunistic spectrum access (OSA) which allows secondary users to identify and exploit instantaneous spectrum opportunities resulting from the bursty traffic of ...
Dejan V. Djonin, Qing Zhao, Vikram Krishnamurthy
ISCAS
2003
IEEE
131views Hardware» more  ISCAS 2003»
14 years 2 months ago
Process variation dimension reduction based on SVD
We propose an algorithm based on singular value decomposition (SVD) to reduce the number of process variation variables. With few process variation variables, fault simulation and...
Zhuo Li, Xiang Lu, Weiping Shi
CVPR
2009
IEEE
15 years 4 months ago
In Defense of Orthonormality Constraints for Nonrigid Structure from Motion
In factorization approaches to nonrigid structure from motion, the 3D shape of a deforming object is usually modeled as a linear combination of a small number of basis shapes. T...
Ijaz Akhter (LUMS, Lahore, Pakistan), Yaser Sheikh...
CVPR
2003
IEEE
14 years 11 months ago
Learning Appearance and Transparency Manifolds of Occluded Objects in Layers
By mapping a set of input images to points in a lowdimensional manifold or subspace, it is possible to efficiently account for a small number of degrees of freedom. For example, i...
Brendan J. Frey, Nebojsa Jojic, Anitha Kannan