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» Computing the Dimension of Linear Subspaces
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CORR
2007
Springer
110views Education» more  CORR 2007»
13 years 9 months ago
Information-theoretic limits on sparsity recovery in the high-dimensional and noisy setting
The problem of recovering the sparsity pattern of a fixed but unknown vector β∗ ∈ Rp based on a set of n noisy observations arises in a variety of settings, including subset...
Martin J. Wainwright
JCT
2002
107views more  JCT 2002»
13 years 9 months ago
Asymmetric Binary Covering Codes
An asymmetric binary covering code of length n and radius R is a subset C of the n-cube Qn such that every vector x Qn can be obtained from some vector c C by changing at most R...
Joshua N. Cooper, Robert B. Ellis, Andrew B. Kahng
JMIV
1998
130views more  JMIV 1998»
13 years 9 months ago
Topological Numbers and Singularities in Scalar Images: Scale-Space Evolution Properties
Singular points of scalar images in any dimensions are classified by a topological number. This number takes integer values and can efficiently be computed as a surface integral ...
Stiliyan Kalitzin, Bart M. ter Haar Romeny, Alfons...
MP
2010
145views more  MP 2010»
13 years 8 months ago
The traveling salesman problem with pickup and delivery: polyhedral results and a branch-and-cut algorithm
The Traveling Salesman Problem with Pickup and Delivery (TSPPD) is defined on a graph containing pickup and delivery vertices between which there exists a one-toone relationship. ...
Irina Dumitrescu, Stefan Ropke, Jean-Franço...
BMCBI
2010
150views more  BMCBI 2010»
13 years 7 months ago
Kernel based methods for accelerated failure time model with ultra-high dimensional data
Background: Most genomic data have ultra-high dimensions with more than 10,000 genes (probes). Regularization methods with L1 and Lp penalty have been extensively studied in survi...
Zhenqiu Liu, Dechang Chen, Ming Tan, Feng Jiang, R...