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ICASSP
2011
IEEE
14 years 10 months ago
Fast algorithms for Iterative Adaptive Approach spectral estimation techniques
This paper presents computationally efficient implementations for Iterative Adaptive Approach (IAA) spectral estimation techniques for uniformly sampled data sets. By exploiting ...
George-Othon Glentis, Andreas Jakobsson
CIKM
2001
Springer
15 years 10 months ago
Sliding-Window Filtering: An Efficient Algorithm for Incremental Mining
We explore in this paper an effective sliding-window filtering (abbreviatedly as SWF) algorithm for incremental mining of association rules. In essence, by partitioning a transact...
Chang-Hung Lee, Cheng-Ru Lin, Ming-Syan Chen
TSP
2011
152views more  TSP 2011»
15 years 1 months ago
Blind Adaptive Constrained Constant-Modulus Reduced-Rank Interference Suppression Algorithms Based on Interpolation and Switched
—This work proposes a blind adaptive reduced-rank scheme and constrained constant-modulus (CCM) adaptive algorithms for interference suppression in wireless communications system...
Rodrigo C. de Lamare, Raimundo Sampaio Neto, Marti...
DGCI
2006
Springer
15 years 8 months ago
Fast Polynomial Segmentation of Digitized Curves
We propose a linear-time algorithm for curve segmentation which is based on constructive polynomial fitting. This work extends previous work on constructive fitting by taking the t...
Peter Veelaert, Kristof Teelen
ICML
2007
IEEE
16 years 7 months ago
Local learning projections
This paper presents a Local Learning Projection (LLP) approach for linear dimensionality reduction. We first point out that the well known Principal Component Analysis (PCA) essen...
Bernhard Schölkopf, Kai Yu, Mingrui Wu, Shipe...