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» Efficient Multidimensional Sampling
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AIPS
2009
15 years 5 months ago
Information-Theoretic Approach to Efficient Adaptive Path Planning for Mobile Robotic Environmental Sensing
Recent research in robot exploration and mapping has focused on sampling environmental hotspot fields. This exploration task is formalized by Low, Dolan, and Khosla (2008) in a se...
Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 4 months ago
Efficient methods for topic model inference on streaming document collections
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
Limin Yao, David M. Mimno, Andrew McCallum
SIGMOD
1998
ACM
99views Database» more  SIGMOD 1998»
15 years 8 months ago
CURE: An Efficient Clustering Algorithm for Large Databases
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim
ICDE
2010
IEEE
219views Database» more  ICDE 2010»
16 years 3 months ago
PIP: A Database System for Great and Small Expectations
Estimation via sampling out of highly selective join queries is well known to be problematic, most notably in online aggregation. Without goal-directed sampling strategies, samples...
Oliver Kennedy, Christoph Koch
ICRA
2009
IEEE
259views Robotics» more  ICRA 2009»
15 years 11 months ago
Fast Point Feature Histograms (FPFH) for 3D registration
— In our recent work [1], [2], we proposed Point Feature Histograms (PFH) as robust multi-dimensional features which describe the local geometry around a point p for 3D point clo...
Radu Bogdan Rusu, Nico Blodow, Michael Beetz