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» Extracting general-purpose features from LIDAR data
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PRL
2010
158views more  PRL 2010»
14 years 10 months ago
Data clustering: 50 years beyond K-means
: Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organ...
Anil K. Jain
BMCBI
2011
14 years 3 months ago
SeqGene: a comprehensive software solution for mining exome- and transcriptome- sequencing data
Background: The popularity of massively parallel exome and transcriptome sequencing projects demands new data mining tools with a comprehensive set of features to support a wide r...
Xutao Deng
3DPVT
2002
IEEE
169views Visualization» more  3DPVT 2002»
15 years 4 months ago
Compression of Isosurfaces for Structured Volumes with Context Modelling
In many applications surfaces with a large number of primitives occur. Geometry compression reduces storage space and transmission time for such models. A special case is given by...
Dietmar Saupe, Jens-Peer Kuska
ICRA
2009
IEEE
241views Robotics» more  ICRA 2009»
15 years 6 months ago
Robust edge extraction for SwissRanger SR-3000 range images
—This paper presents a new method for extracting object edges from range images obtained by a 3D range imaging sensor⎯the SwissRanger SR-3000. In range image preprocessing stag...
Cang Ye, Guruprasad M. Hegde
KDD
2009
ACM
269views Data Mining» more  KDD 2009»
16 years 11 days ago
Extracting discriminative concepts for domain adaptation in text mining
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong