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ICDM
2002
IEEE
158views Data Mining» more  ICDM 2002»
15 years 9 months ago
Adaptive dimension reduction for clustering high dimensional data
It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...
Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst...
GM
1999
Springer
15 years 8 months ago
Data-Dependent Triangulation in the Plane with Adaptive Knot Placement
In many applications one is concerned with the approximation of functions from a finite set of scattered data sites with associated function values. We describe a scheme for cons...
René Schätzl, Hans Hagen, James C. Bar...
ICMCS
2005
IEEE
111views Multimedia» more  ICMCS 2005»
15 years 9 months ago
An audio spread-spectrum data hiding system with an informed embedding strategy adapted to a Wiener filtering based receiver
A particular application of audio data hiding systems and watermarking systems consists of using the audio signal as a transmission channel for binary information. The system shou...
Cléo Baras, Nicolas Moreau
ICISP
2010
Springer
15 years 9 months ago
Determining Dominant Frequency with Data-Adaptive Windows
Abstract. Measurement of activation rates in cardiac electrograms is commonly done though estimating the frequency of the sinusoid with the greatest power. This frequency, commonly...
Gagan Mirchandani, Shruti Sharma
CORR
2008
Springer
157views Education» more  CORR 2008»
15 years 4 months ago
The Imaginary Sliding Window As a New Data Structure for Adaptive Algorithms
Abstract.1 The scheme of the sliding window is known in Information Theory, Computer Science, the problem of predicting and in stastistics. Let a source with unknown statistics gen...
Boris Ryabko