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ROMAN
2007
IEEE
127views Robotics» more  ROMAN 2007»
16 years 1 months ago
Incremental on-line hierarchical clustering of whole body motion patterns
Abstract— This paper describes a novel algorithm for autonomous and incremental learning of motion pattern primitives by observation of human motion. Human motion patterns are ed...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
ICDM
2006
IEEE
145views Data Mining» more  ICDM 2006»
16 years 1 months ago
Stability Region Based Expectation Maximization for Model-based Clustering
In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
ADBIS
2006
Springer
166views Database» more  ADBIS 2006»
16 years 1 months ago
Clustering-Based Materialized View Selection in Data Warehouses
materialized view selection is a non-trivial task. Hence, its complexity must be reduced. A judicious choice of views must be costdriven and influenced by the workload experienced...
Kamel Aouiche, Pierre-Emmanuel Jouve, Jér&o...
IPPS
2003
IEEE
16 years 26 days ago
MUSE: A Software Oscilloscope for Clusters and Grids
Oscilloscopes and their cousins, logic analyzers, are the tools of choice for difficult electronic hardware problems. In the hands of a skilled engineer or technician, these tool...
Mark K. Gardner, Michael Broxton, Adam Engelhart, ...
218
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IDEAS
1999
IEEE
123views Database» more  IDEAS 1999»
15 years 12 months ago
Improving OLAP Performance by Multidimensional Hierarchical Clustering
Data-warehousing applications cope with enormous data sets in the range of Gigabytes and Terabytes. Queries usually either select a very small set of this data or perform aggregat...
Volker Markl, Frank Ramsak, Rudolf Bayer