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» A Practical Method for the Sparse Resultant
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CIMAGING
2009
184views Hardware» more  CIMAGING 2009»
15 years 8 months ago
Fast space-varying convolution and its application in stray light reduction
Space-varying convolution often arises in the modeling or restoration of images captured by optical imaging systems. For example, in applications such as microscopy or photography...
Jianing Wei, Guangzhi Cao, Charles A. Bouman, Jan ...
COMCOM
2007
99views more  COMCOM 2007»
15 years 7 months ago
Topology-aware overlay path probing
Path probing is essential to maintaining an efficient overlay network topology. However, the cost of a full-scale probing is as high as O(n2 ), which is prohibitive in large-scale...
Chiping Tang, Philip K. McKinley
IPM
2006
64views more  IPM 2006»
15 years 7 months ago
Text mining without document context
We consider a challenging clustering task: the clustering of muti-word terms without document co-occurrence information in order to form coherent groups of topics. For this task, ...
Eric SanJuan, Fidelia Ibekwe-Sanjuan
SIAMSC
2008
132views more  SIAMSC 2008»
15 years 7 months ago
Stochastic Preconditioning for Diagonally Dominant Matrices
Abstract. This paper presents a new stochastic preconditioning approach for large sparse matrices. For the class of matrices that are row-wise and column-wise irreducibly diagonall...
Haifeng Qian, Sachin S. Sapatnekar
ICRA
2010
IEEE
165views Robotics» more  ICRA 2010»
15 years 5 months ago
Vector field SLAM
— Designing a localization system for a low-cost robotic consumer product poses a major challenge. In previous work, we introduced Vector Field SLAM [5], a system for simultaneou...
Jens-Steffen Gutmann, Gabriel Brisson, Ethan Eade,...