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» The Kernel Least-Mean-Square Algorithm
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ICDM
2010
IEEE
135views Data Mining» more  ICDM 2010»
15 years 2 months ago
Learning a Bi-Stochastic Data Similarity Matrix
An idealized clustering algorithm seeks to learn a cluster-adjacency matrix such that, if two data points belong to the same cluster, the corresponding entry would be 1; otherwise ...
Fei Wang, Ping Li, Arnd Christian König
169
Voted
KDD
2008
ACM
264views Data Mining» more  KDD 2008»
16 years 4 months ago
Stable feature selection via dense feature groups
Many feature selection algorithms have been proposed in the past focusing on improving classification accuracy. In this work, we point out the importance of stable feature selecti...
Lei Yu, Chris H. Q. Ding, Steven Loscalzo
ICML
2007
IEEE
16 years 4 months ago
A dependence maximization view of clustering
We propose a family of clustering algorithms based on the maximization of dependence between the input variables and their cluster labels, as expressed by the Hilbert-Schmidt Inde...
Le Song, Alexander J. Smola, Arthur Gretton, Karst...
SAS
2009
Springer
119views Formal Methods» more  SAS 2009»
16 years 4 months ago
Abstraction Refinement for Quantified Array Assertions
ion Refinement for Quantified Array Assertions Mohamed Nassim Seghir1, , Andreas Podelski1 , and Thomas Wies1,2 1 University of Freiburg, Germany 2 EPFL, Switzerland Abstract. We p...
Mohamed Nassim Seghir, Andreas Podelski, Thomas Wi...
160
Voted
ICCAD
2003
IEEE
154views Hardware» more  ICCAD 2003»
16 years 27 days ago
Fast, Accurate Static Analysis for Fixed-Point Finite-Precision Effects in DSP Designs
Translating digital signal processing (DSP) software into its finite-precision hardware implementation is often a timeconsuming task. We describe a new static analysis technique ...
Claire Fang Fang, Rob A. Rutenbar, Tsuhan Chen