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JACM
2000
119views more  JACM 2000»
13 years 10 months ago
A subdivision-based algorithm for the sparse resultant
Multivariate resultants generalize the Sylvester resultant of two polynomials and characterize the solvability of a polynomial system. They also reduce the computation of all comm...
John F. Canny, Ioannis Z. Emiris
CISS
2010
IEEE
13 years 1 months ago
Average case analysis of sparse recovery from combined fusion frame measurements
—Sparse representations have emerged as a powerful tool in signal and information processing, culminated by the success of new acquisition and processing techniques such as Compr...
Petros Boufounos, Gitta Kutyniok, Holger Rauhut
CVPR
2012
IEEE
12 years 17 days ago
Bilevel sparse coding for coupled feature spaces
In this paper, we propose a bilevel sparse coding model for coupled feature spaces, where we aim to learn dictionaries for sparse modeling in both spaces while enforcing some desi...
Jianchao Yang, Zhaowen Wang, Zhe Lin, Xianbiao Shu...
ICDCS
2008
IEEE
14 years 4 months ago
Performance Analysis of Group Based Detection for Sparse Sensor Networks
In this paper, we analyze the performance of group based detection in sparse sensor networks, when the system level detection decision is made based on the detection reports gener...
Jingbin Zhang, Gang Zhou, Sang Hyuk Son, John A. S...
CORR
2010
Springer
130views Education» more  CORR 2010»
13 years 10 months ago
Phase Transitions for Greedy Sparse Approximation Algorithms
A major enterprise in compressed sensing and sparse approximation is the design and analysis of computationally tractable algorithms for recovering sparse, exact or approximate, s...
Jeffrey D. Blanchard, Coralia Cartis, Jared Tanner...