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150
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ICASSP
2011
IEEE
14 years 7 months ago
Online performance guarantees for sparse recovery
A K∗ -sparse vector x∗ ∈ RN produces measurements via linear dimensionality reduction as u = Φx∗ + n, where Φ ∈ RM×N (M < N), and n ∈ RM consists of independent ...
Raja Giryes, Volkan Cevher
116
Voted
LMCS
2007
132views more  LMCS 2007»
15 years 3 months ago
The Complexity of Model Checking Higher-Order Fixpoint Logic
Higher-Order Fixpoint Logic (HFL) is a hybrid of the simply typed λ-calculus and the modal µ-calculus. This makes it a highly expressive temporal logic that is capable of express...
Roland Axelsson, Martin Lange, Rafal Somla
146
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ICS
2010
Tsinghua U.
15 years 7 months ago
Memory Consistency Conditions for Self-Assembly Programming
: Perhaps the two most significant theoretical questions about the programming of self-assembling agents are: (1) necessary and sufficient conditions to produce a unique terminal a...
Aaron Sterling
163
Voted
AUTOMATICA
2008
139views more  AUTOMATICA 2008»
15 years 3 months ago
Structured low-rank approximation and its applications
Fitting data by a bounded complexity linear model is equivalent to low-rank approximation of a matrix constructed from the data. The data matrix being Hankel structured is equival...
Ivan Markovsky
CRV
2008
IEEE
205views Robotics» more  CRV 2008»
15 years 10 months ago
Accurate Boundary Localization using Dynamic Programming on Snakes
The extraction of contours using deformable models, such as snakes, is a problem of great interest in computer vision, particular in areas of medical imaging and tracking. Snakes ...
Akshaya Kumar Mishra, Paul W. Fieguth, David A. Cl...