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MMS
2006
15 years 6 months ago
Collaborative image retrieval via regularized metric learning
In content-based image retrieval (CBIR), relevant images are identified based on their similarities to query images. Most CBIR algorithms are hindered by the semantic gap between ...
Luo Si, Rong Jin, Steven C. H. Hoi, Michael R. Lyu
ICCV
2007
IEEE
16 years 8 months ago
Spectral Regression for Efficient Regularized Subspace Learning
Subspace learning based face recognition methods have attracted considerable interests in recent years, including Principal Component Analysis (PCA), Linear Discriminant Analysis ...
Deng Cai, Xiaofei He, Jiawei Han
APN
2009
Springer
15 years 10 months ago
P-Semiflow Computation with Decision Diagrams
We present a symbolic method for p-semiflow computation, based on zero-suppressed decision diagrams. Both the traditional explicit methods and our new symbolic method rely on Farka...
Gianfranco Ciardo, Galen Mecham, Emmanuel Paviot-A...
IWCMC
2006
ACM
16 years 6 days ago
Low complexity design of space-time convolutional codes with high spectral efficiencies
Space time convolutional codes (STCCs) are an effective way to combine transmit diversity with coding. The computational complexity of designing STCCs generally increases exponent...
Kyungmin Kim, Hamid R. Sadjadpour, Rick S. Blum, Y...
CPE
1998
Springer
81views Hardware» more  CPE 1998»
15 years 10 months ago
Experiments with Improved Approximate Mean Value Analysis Algorithms
Abstract. Approximate Mean Value Analysis (MVA) is a popular technique for analyzing queueing networks because of the efficiency and accuracy that it affords. In this paper, we pre...
Hai Wang, Kenneth C. Sevcik