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ICPR
2006
IEEE
16 years 28 days ago
Adaptive Feature Integration for Segmentation of 3D Data by Unsupervised Density Estimation
In this paper, a novel unsupervised approach for the segmentation of unorganized 3D points sets is proposed. The method derives by the mean shift clustering paradigm devoted to se...
Marco Cristani, Umberto Castellani, Vittorio Murin...
AMAI
2004
Springer
15 years 5 months ago
Bayesian Model Averaging Across Model Spaces via Compact Encoding
Bayesian Model Averaging (BMA) is well known for improving predictive accuracy by averaging inferences over all models in the model space. However, Markov chain Monte Carlo (MCMC)...
Ke Yin, Ian Davidson
CORR
1999
Springer
222views Education» more  CORR 1999»
14 years 11 months ago
Analysis of approximate nearest neighbor searching with clustered point sets
Abstract. Nearest neighbor searching is a fundamental computational problem. A set of n data points is given in real d-dimensional space, and the problem is to preprocess these poi...
Songrit Maneewongvatana, David M. Mount
CVPR
2007
IEEE
16 years 1 months ago
Segmenting Motions of Different Types by Unsupervised Manifold Clustering
We propose a novel algorithm for segmenting multiple motions of different types from point correspondences in multiple affine or perspective views. Since point trajectories associ...
Alvina Goh, René Vidal
ECCV
2010
Springer
15 years 28 days ago
Texture Regimes for Entropy-Based Multiscale Image Analysis
We present an approach to multiscale image analysis. It hinges on an operative definition of texture that involves a "small region", where some (unknown) statistic is agg...
Sylvain Boltz, Frank Nielsen, Stefano Soatto