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» Data Modelling in Complex Application Domains
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PRL
2011
14 years 10 months ago
Efficient approximate Regularized Least Squares by Toeplitz matrix
Machine Learning based on the Regularized Least Square (RLS) model requires one to solve a system of linear equations. Direct-solution methods exhibit predictable complexity and s...
Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino
CODES
2006
IEEE
15 years 10 months ago
The pipeline decomposition tree: : an analysis tool for multiprocessor implementation of image processing applications
Modern embedded systems for image processing involve increasingly complex levels of functionality under real-time and resourcerelated constraints. As this complexity increases, th...
Dong-Ik Ko, Shuvra S. Bhattacharyya
GIS
2004
ACM
16 years 4 months ago
Time-dependent affine triangulation of spatio-temporal data
In the geometric data model [6], spatio-temporal data are modelled as a finite collection of triangles that are transformed by time-dependent affinities. To facilitate querying an...
Sofie Haesevoets, Bart Kuijpers
JSAC
2008
91views more  JSAC 2008»
15 years 3 months ago
A novel receiver architecture for single-carrier transmission over time-varying channels
In this paper, we present a single-carrier transceiver for rapidly time-varying channels, where the equalization step is implemented in the frequency domain. When the channel abide...
Zijian Tang, Geert Leus
141
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ECCV
1994
Springer
16 years 5 months ago
Utilizing symmetry in the reconstruction of three-dimensional shape from noisy images
In previous applications, bilateral symmetry of objects was used either as a descriptive feature in domains such as recognition and grasping, or as a way to reduce the complexity o...
Hagit Zabrodsky, Daphna Weinshall