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ICPR
2000
IEEE
14 years 1 months ago
Two-Stage Computational Cost Reduction Algorithm Based on Mahalanobis Distance Approximations
For many pattern recognition methods, high recognition accuracy is obtained at very high expense of computational cost. In this paper, a new algorithm that reduces the computation...
Fang Sun, Shinichiro Omachi, Nei Kato, Hirotomo As...
TSP
2008
94views more  TSP 2008»
13 years 8 months ago
Cross-Entropy-Based Sign-Selection Algorithms for Peak-to-Average Power Ratio Reduction of OFDM Systems
Sign-selection uses a set of subcarrier signs to reduce the peak-to-average power ratio (PAR) of orthogonal-frequency-division multiplexing (OFDM). However, the computational compl...
Luqing Wang, Chintha Tellambura
FCT
1991
Springer
14 years 10 days ago
Lattice Basis Reduction: Improved Practical Algorithms and Solving Subset Sum Problems
We report on improved practical algorithms for lattice basis reduction. We propose a practical oating point version of the L3{algorithm of Lenstra, Lenstra, Lovasz (1982). We pres...
Claus-Peter Schnorr, M. Euchner
ACL
2003
13 years 10 months ago
Uncertainty Reduction in Collaborative Bootstrapping: Measure and Algorithm
This paper proposes the use of uncertainty reduction in machine learning methods such as co-training and bilingual bootstrapping, which are referred to, in a general term, as ‘c...
Yunbo Cao, Hang Li, Li Lian
RSCTC
2004
Springer
237views Fuzzy Logic» more  RSCTC 2004»
14 years 2 months ago
An Automated Multi-spectral MRI Segmentation Algorithm Using Approximate Reducts
Abstract. We introduce an automated multi-spectral MRI segmentation technique based on approximate reducts derived from the data mining paradigm of the theory of rough sets. We uti...
Sebastian Widz, Kenneth Revett, Dominik Slezak