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AAAI
2012
13 years 10 months ago
Exact Lifted Inference with Distinct Soft Evidence on Every Object
The presence of non-symmetric evidence has been a barrier for the application of lifted inference since the evidence destroys the symmetry of the first-order probabilistic model....
Hung B. Bui, Tuyen N. Huynh, Rodrigo de Salvo Braz
224
Voted
ESANN
2006
15 years 9 months ago
A Gaussian process latent variable model formulation of canonical correlation analysis
Abstract. We investigate a nonparametric model with which to visualize the relationship between two datasets. We base our model on Gaussian Process Latent Variable Models (GPLVM)[1...
Gayle Leen, Colin Fyfe
ICPR
2008
IEEE
16 years 8 months ago
Segmentation by combining parametric optical flow with a color model
We present a simple but efficient model for object segmentation in video scenes that integrates motion and color information in a joint probabilistic framework. Optical flow is mo...
Adrian Ulges, Thomas M. Breuel
ICMCS
2006
IEEE
111views Multimedia» more  ICMCS 2006»
16 years 1 months ago
Integration of Background Modeling and Object Tracking
Background model and tracking became critical components for many vision-based applications. Typically, background modeling and object tracking are mutually independent in many ap...
Yu-Ting Chen, Chu-Song Chen, Yi-Ping Hung
SCVMA
2004
Springer
16 years 28 days ago
A Generative Model of Dense Optical Flow in Layers
We introduce a generative model of dense flow fields within a layered representation of 3-dimensional scenes. Using probabilistic inference and learning techniques (namely, varia...
Anitha Kannan, Brendan J. Frey, Nebojsa Jojic