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» Approximation Algorithms for k-hurdle Problems
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ICML
2004
IEEE
16 years 5 months ago
SVM-based generalized multiple-instance learning via approximate box counting
The multiple-instance learning (MIL) model has been very successful in application areas such as drug discovery and content-based imageretrieval. Recently, a generalization of thi...
Qingping Tao, Stephen D. Scott, N. V. Vinodchandra...
CISS
2008
IEEE
15 years 11 months ago
Distributed processing in frames for sparse approximation
—Beyond signal processing applications, frames are also powerful tools for modeling the sensing and information processing of many biological and man-made systems that exhibit in...
Christopher J. Rozell
DMSN
2004
ACM
15 years 9 months ago
Approximately uniform random sampling in sensor networks
Recent work in sensor databases has focused extensively on distributed query problems, notably distributed computation of aggregates. Existing methods for computing aggregates bro...
Boulat A. Bash, John W. Byers, Jeffrey Considine
AAAI
1997
15 years 5 months ago
Combining Approximate Front End Signal Processing with Selective Reprocessing in Auditory Perception
When dealing with signals from complex environments, where multiple time-dependent signal signatures can interfere with each other in stochastically unpredictable ways, traditiona...
Frank Klassner, Victor R. Lesser, Hamid Nawab
SIAMMAX
2011
141views more  SIAMMAX 2011»
14 years 7 months ago
Best Low Multilinear Rank Approximation of Higher-Order Tensors, Based on the Riemannian Trust-Region Scheme
Higher-order tensors are used in many application fields, such as statistics, signal processing, and scientific computing. Efficient and reliable algorithms for manipulating thes...
Mariya Ishteva, Pierre-Antoine Absil, Sabine Van H...