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PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
14 years 2 months ago
Sparse Kernel SVMs via Cutting-Plane Training
We explore an algorithm for training SVMs with Kernels that can represent the learned rule using arbitrary basis vectors, not just the support vectors (SVs) from the training set. ...
Thorsten Joachims, Chun-Nam John Yu
ICASSP
2008
IEEE
14 years 2 months ago
Mixed-signal parallel compressed sensing and reception for cognitive radio
A parallel structure to do spectrum sensing in Cognitive Radio (CR) at sub-Nyquist rate is proposed. The structure is based on Compressed Sensing (CS) that exploits the sparsity o...
Zhuizhuan Yu, Sebastian Hoyos, Brian M. Sadler
ICPP
2008
IEEE
14 years 2 months ago
Challenges and Advances in Parallel Sparse Matrix-Matrix Multiplication
We identify the challenges that are special to parallel sparse matrix-matrix multiplication (PSpGEMM). We show that sparse algorithms are not as scalable as their dense counterpar...
Aydin Buluç, John R. Gilbert
ICC
2007
IEEE
105views Communications» more  ICC 2007»
14 years 2 months ago
Addressing the Dynamic Range Problem in Cognitive Radios
—The discrepancy between perceived spectrum shortage from the FCC allocation map and the actual abundance of available spectrum is a motivation for Cognitive Radios, which locate...
Jing Yang, Robert W. Brodersen, David Tse
ISQED
2007
IEEE
254views Hardware» more  ISQED 2007»
14 years 2 months ago
An Aggregation-Based Algebraic Multigrid Method for Power Grid Analysis
ct This paper develops an aggregation-based algebraic multigrid (AbAMG) method to efficiently analyze the power grids. Different from the conventional algebraic multigrid (AMG) sc...
Pei-Yu Huang, Huan-Yu Chou, Yu-Min Lee