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» Measuring the Diversity of a Test Set With Distance Entropy
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DATAMINE
2006
224views more  DATAMINE 2006»
14 years 9 months ago
Characteristic-Based Clustering for Time Series Data
With the growing importance of time series clustering research, particularly for similarity searches amongst long time series such as those arising in medicine or finance, it is cr...
Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman
73
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APVIS
2008
14 years 11 months ago
Height Ridge Computation and Filtering for Visualization
Motivated by the growing interest in the use of ridges in scientific visualization, we analyze the two height ridge definitions by Eberly and Lindeberg. We propose a raw feature d...
Ronald Peikert, Filip Sadlo
NIPS
2001
14 years 11 months ago
KLD-Sampling: Adaptive Particle Filters
Over the last years, particle filters have been applied with great success to a variety of state estimation problems. We present a statistical approach to increasing the efficienc...
Dieter Fox
ISMIR
2004
Springer
115views Music» more  ISMIR 2004»
15 years 3 months ago
Timbre Classification Of A Single Musical Instrument
In order to map the spectral characteristics of the large variety of sounds a musical instrument may produce, different notes were performed and sampled in several intensity level...
Mauricio A. Loureiro, Hugo B. De Paula, Hani C. Ye...
RECOMB
2009
Springer
15 years 10 months ago
Finding Biologically Accurate Clusterings in Hierarchical Tree Decompositions Using the Variation of Information
Abstract. Hierarchical clustering is a popular method for grouping together similar elements based on a distance measure between them. In many cases, annotation information for som...
Saket Navlakha, James Robert White, Niranjan Nagar...