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UAI
2004
13 years 10 months ago
Recovering Articulated Object Models from 3D Range Data
We address the problem of unsupervised learning of complex articulated object models from 3D range data. We describe an algorithm whose input is a set of meshes corresponding to d...
Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang,...
ICDM
2003
IEEE
112views Data Mining» more  ICDM 2003»
14 years 2 months ago
Privacy-preserving Distributed Clustering using Generative Models
We present a framework for clustering distributed data in unsupervised and semi-supervised scenarios, taking into account privacy requirements and communication costs. Rather than...
Srujana Merugu, Joydeep Ghosh
CRV
2008
IEEE
192views Robotics» more  CRV 2008»
14 years 3 months ago
Realtime Visualization of Monocular Data for 3D Reconstruction
Methods for reconstructing photorealistic 3D graphics models from images or video are appealing applications of computer vision. Such methods rely on good input image data, but th...
Adam Rachmielowski, Neil Birkbeck, Martin Jäg...
BPM
2009
Springer
258views Business» more  BPM 2009»
14 years 3 months ago
Activity Mining by Global Trace Segmentation
Process Mining is a technology for extracting non-trivial and useful information from execution logs. For example, there are many process mining techniques to automatically discove...
Christian W. Günther, Anne Rozinat, Wil M. P....
SDM
2008
SIAM
119views Data Mining» more  SDM 2008»
13 years 10 months ago
An Efficient Local Algorithm for Distributed Multivariate Regression in Peer-to-Peer Networks
This paper offers a local distributed algorithm for multivariate regression in large peer-to-peer environments. The algorithm is designed for distributed inferencing, data compact...
Kanishka Bhaduri, Hillol Kargupta