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» A Practical Method for the Sparse Resultant
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KDD
2007
ACM
178views Data Mining» more  KDD 2007»
15 years 10 months ago
Practical learning from one-sided feedback
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
D. Sculley
ICML
2008
IEEE
15 years 10 months ago
Nearest hyperdisk methods for high-dimensional classification
In high-dimensional classification problems it is infeasible to include enough training samples to cover the class regions densely. Irregularities in the resulting sparse sample d...
Hakan Cevikalp, Bill Triggs, Robi Polikar
SINOBIOMETRICS
2004
Springer
15 years 3 months ago
Pose Normalization Using Generic 3D Face Model as a Priori for Pose-Insensitive Face Recognition
Abrupt performance degradation caused by face pose variations has been one of the bottlenecks for practical face recognition applications. This paper presents a practical pose norm...
Xiujuan Chai, Shiguang Shan, Wen Gao, Xin Liu
ICCAD
2009
IEEE
133views Hardware» more  ICCAD 2009»
14 years 7 months ago
A parallel preconditioning strategy for efficient transistor-level circuit simulation
A parallel computing approach for large-scale SPICE-accurate circuit simulation is described that is based on a new preconditioned iterative solver. The preconditioner involves the...
Heidi Thornquist, Eric R. Keiter, Robert J. Hoekst...
NIPS
2004
14 years 11 months ago
Hierarchical Eigensolver for Transition Matrices in Spectral Methods
We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
Chakra Chennubhotla, Allan D. Jepson