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NIPS
2008
13 years 10 months ago
Spectral Clustering with Perturbed Data
Spectral clustering is useful for a wide-ranging set of applications in areas such as biological data analysis, image processing and data mining. However, the computational and/or...
Ling Huang, Donghui Yan, Michael I. Jordan, Nina T...
ICVGIP
2004
13 years 10 months ago
The Space of Human Shapes
We develop a novel method for fitting high-resolution template meshes to detailed human body range scans with sparse 3D markers. We formulate an optimization problem in which the ...
Brian Curless
ICDM
2008
IEEE
184views Data Mining» more  ICDM 2008»
14 years 3 months ago
Bayesian Co-clustering
In recent years, co-clustering has emerged as a powerful data mining tool that can analyze dyadic data connecting two entities. However, almost all existing co-clustering techniqu...
Hanhuai Shan, Arindam Banerjee
IROS
2008
IEEE
139views Robotics» more  IROS 2008»
14 years 3 months ago
Estimating landmark locations from geo-referenced photographs
Abstract— The problem of estimating the positions of landmarks using a mobile robot equipped with a camera has intensively been studied in the past. In this paper, we consider a ...
Henrik Kretzschmar, Cyrill Stachniss, Christian Pl...
ICAI
2004
13 years 10 months ago
A Comparison of Resampling Methods for Clustering Ensembles
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
Behrouz Minaei-Bidgoli, Alexander P. Topchy, Willi...