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JMIV
1998
112views more  JMIV 1998»
13 years 10 months ago
Differential and Integral Geometry of Linear Scale-Spaces
Linear scale-space theory provides a useful framework to quantify the differential and integral geometry of spatio-temporal input images. In this paper that geometry comes about by...
Alfons H. Salden, Bart M. ter Haar Romeny, Max A. ...
SUTC
2010
IEEE
13 years 9 months ago
Reordering for Better Compressibility: Efficient Spatial Sampling in Wireless Sensor Networks
—Compressed Sensing (CS) is a novel sampling paradigm that tries to take data-compression concepts down to the sampling layer of a sensory system. It states that discrete compres...
Mohammadreza Mahmudimanesh, Abdelmajid Khelil, Nee...
CORR
2010
Springer
208views Education» more  CORR 2010»
13 years 7 months ago
Real-time Robust Principal Components' Pursuit
In the recent work of Candes et al, the problem of recovering low rank matrix corrupted by i.i.d. sparse outliers is studied and a very elegant solution, principal component pursui...
Chenlu Qiu, Namrata Vaswani
FUIN
2011
358views Cryptology» more  FUIN 2011»
13 years 2 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...
ICNP
2009
IEEE
14 years 5 months ago
oCast: Optimal Multicast Routing Protocol for Wireless Sensor Networks
—In this paper, we describe oCast, an energy-optimal multicast routing protocol for wireless sensor networks. The general minimum-energy multicast problem is NP-hard. Intermitten...
Lu Su, Bolin Ding, Yong Yang, Tarek F. Abdelzaher,...