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SDM
2012
SIAM
452views Data Mining» more  SDM 2012»
13 years 6 months ago
Density-based Projected Clustering over High Dimensional Data Streams
Clustering of high dimensional data streams is an important problem in many application domains, a prominent example being network monitoring. Several approaches have been lately ...
Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer...
SDM
2011
SIAM
243views Data Mining» more  SDM 2011»
14 years 6 months ago
Data Integration via Constrained Clustering: An Application to Enzyme Clustering
When multiple data sources are available for clustering, an a priori data integration process is usually required. This process may be costly and may not lead to good clusterings,...
Elisa Boari de Lima, Raquel Cardoso de Melo Minard...
ICRA
2010
IEEE
150views Robotics» more  ICRA 2010»
15 years 2 months ago
Consistency of the monocular EKF-SLAM algorithm for three different landmark parametrizations
We benchmark in this article three different landmark parametrizations in monocular 6DOF EKF-SLAM. These parametrizations are homogeneous points (HP), inversedistance points (IDP, ...
Joan Solà
SDM
2008
SIAM
123views Data Mining» more  SDM 2008»
15 years 5 months ago
Constrained Co-clustering of Gene Expression Data
In many applications, the expert interpretation of coclustering is easier than for mono-dimensional clustering. Co-clustering aims at computing a bi-partition that is a collection...
Ruggero G. Pensa, Jean-François Boulicaut
PICS
2000
15 years 5 months ago
Data Embedding Using Phase Dispersion
A method of data embedding based on the convolution of message data with a random phase carrier is presented. The theory behind this method is reviewed and it is shown that the te...
Chris Honsinger