363 search results - page 40 / 73 » Probabilistic Data Generation for Deduplication and Data Lin... |
PAMI
2012
11 years 10 months ago
2012
—We propose a probabilistic formulation of joint silhouette extraction and 3D reconstruction given a series of calibrated 2D images. Instead of segmenting each image separately i...
CLEF
2009
Springer
13 years 8 months ago
2009
Springer
We present Promodes, an algorithm for unsupervised word decomposition, which is based on a probabilistic generative model. The model considers segment boundaries as hidden variable...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
NIPS
2004
13 years 9 months ago
2004
Bayesian Regularization and Nonnegative Deconvolution (BRAND) is proposed for estimating time delays of acoustic signals in reverberant environments. Sparsity of the nonnegative f...
ICRA
1998
IEEE
13 years 11 months ago
1998
IEEE
This paper describes maximum likelihood estimation techniques for performing rover localization in natural terrain by matching range maps. An occupancy map of the local terrain is...