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ICDM
2007
IEEE
116views Data Mining» more  ICDM 2007»
16 years 1 months ago
Privacy-Preserving k-NN for Small and Large Data Sets
It is not surprising that there is strong interest in kNN queries to enable clustering, classification and outlierdetection tasks. However, previous approaches to privacypreservi...
Artak Amirbekyan, Vladimir Estivill-Castro
NIPS
2004
15 years 8 months ago
Proximity Graphs for Clustering and Manifold Learning
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
Miguel Á. Carreira-Perpiñán, ...
CVPR
2009
IEEE
17 years 2 months ago
A Robust Approach for Automatic Registration of Aerial Images with Untextured Aerial LiDAR Data
Airborne LiDAR technology draws increasing interest in large-scale 3D urban modeling in recent years. 3D Li- DAR data typically has no texture information. To generate photo-rea...
Lu Wang, Ulrich Neumann
205
Voted
SAC
2009
ACM
16 years 2 months ago
Online annotation and prediction for regime switching data streams
Regime switching models, in which the state of the world is locally stationary, are a useful abstraction for many continuous valued data streams. In this paper we develop an onlin...
Gordon J. Ross, Dimitris K. Tasoulis, Niall M. Ada...
INFFUS
2008
97views more  INFFUS 2008»
15 years 7 months ago
Using classifier ensembles to label spatially disjoint data
act 11 We describe an ensemble approach to learning from arbitrarily partitioned data. The partitioning comes from the distributed process12 ing requirements of a large scale simul...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...