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ICCVW
1999
Springer
15 years 11 months ago
Characterizing the Performance of Multiple-Image Point-Correspondence Algorithms Using Self-Consistency
A new approach to characterizing the performance of point-correspondencealgorithmsis presented. Instead of relyingon any \ground truth', it uses the self-consistency of the o...
Yvan G. Leclerc, Quang-Tuan Luong, Pascal Fua
CCCG
2008
15 years 8 months ago
Core-Preserving Algorithms
We define a class of algorithms for constructing coresets of (geometric) data sets, and show that algorithms in this class can be dynamized efficiently in the insertiononly (data ...
Hamid Zarrabi-Zadeh
172
Voted
ICASSP
2011
IEEE
14 years 10 months ago
A family of algorithms for blind equalization of QAM signals
We propose blind equalization algorithms that perform similarly to supervised ones, independently of the QAM order. They converge approximately to the Wiener solution, which gener...
Joao Mendes Filho, Magno T. M. Silva, Maria D. Mir...
ICPP
2007
IEEE
16 years 1 months ago
Improving Static Task Scheduling in Heterogeneous and Homogeneous Computing Systems
In this paper, we present a heuristic algorithm that improves the performance of static task scheduling. Our algorithm is based on the list-scheduling mechanism. For the listing p...
Chih-Hsueh Yang, PeiZong Lee, Yeh-Ching Chung
TSP
2008
91views more  TSP 2008»
15 years 6 months ago
A Sequential Monte Carlo Method for Motif Discovery
We propose a sequential Monte Carlo (SMC)-based motif discovery algorithm that can efficiently detect motifs in datasets containing a large number of sequences. The statistical di...
Kuo-ching Liang, Xiaodong Wang, Dimitris Anastassi...