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AAAI
2010
13 years 10 months ago
Cost-Sensitive Semi-Supervised Support Vector Machine
In this paper, we study cost-sensitive semi-supervised learning where many of the training examples are unlabeled and different misclassification errors are associated with unequa...
Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou
ICPR
2000
IEEE
14 years 1 months ago
Boundary Estimation from Intensity/Color Images with Algebraic Curve Models
A new concept and algorithm are presented for noniterative robust estimation of piecewise smooth curves of maximal edge strength in small image windows – typically  ¢¡£  to...
Tolga Tasdizen, David B. Cooper
ICML
2007
IEEE
14 years 10 months ago
Beamforming using the relevance vector machine
Beamformers are spatial filters that pass source signals in particular focused locations while suppressing interference from elsewhere. The widely-used minimum variance adaptive b...
David P. Wipf, Srikantan S. Nagarajan
SC
1993
ACM
14 years 1 months ago
Volume rendering of 3D scalar and vector fields at LLNL
Simulation of complex 3-dimensional phenomena generate data sets which are hard to comprehend using conventional 2-dimensionally oriented visualization tools. One way to overcome ...
Roger Crawfis, Nelson L. Max, Barry G. Becker, Bri...
VLDB
1999
ACM
159views Database» more  VLDB 1999»
14 years 1 months ago
Aggregation Algorithms for Very Large Compressed Data Warehouses
Many efficient algorithms to compute multidimensional aggregation and Cube for relational OLAP have been developed. However, to our knowledge, there is nothing to date in the lite...
Jianzhong Li, Doron Rotem, Jaideep Srivastava