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ICASSP
2008
IEEE
16 years 1 months ago
Blind separation of non-negative sources by convex analysis: Effective method using linear programming
We recently reported a criterion for blind separation of non-negative sources, using a new concept called convex analysis for mixtures of non-negative sources (CAMNS). Under some ...
Tsung-Han Chan, Wing-Kin Ma, Chong-Yung Chi, Yue W...
251
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BMCV
2000
Springer
15 years 11 months ago
A New Line Segment Grouping Method for Finding Globally Optimal Line Segments
In this paper we propose a new method for extracting line segments from edge images. Our method basically follows a line segment grouping approach. This approach has many advantage...
Jeong-Hun Jang, Ki-Sang Hong
COLT
2008
Springer
15 years 8 months ago
How Local Should a Learning Method Be?
We consider the question of why modern machine learning methods like support vector machines outperform earlier nonparametric techniques like kNN. Our approach investigates the lo...
Alon Zakai, Yaacov Ritov
WCE
2007
15 years 8 months ago
A Dynamic Method for the Evaluation and Comparison of Imputation Techniques
— Imputation of missing data is important in many areas, such as reducing non-response bias in surveys and maintaining medical documentation. Estimating the uncertainty inherent ...
Norman Solomon, Giles Oatley, Kenneth McGarry
TKDE
1998
100views more  TKDE 1998»
15 years 6 months ago
Scalability Analysis of Declustering Methods for Multidimensional Range Queries
E cient storage and retrieval of multi-attribute datasets have become one of the essential requirements for many data-intensive applications. The Cartesian product le has been kno...
Bongki Moon, Joel H. Saltz