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» A Hierarchical Latent Variable Model for Data Visualization
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WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
14 years 5 months ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li
ICIP
2008
IEEE
14 years 9 months ago
Variational Bayesian image processing on stochastic factor graphs
In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...
Xin Li
CGF
2007
165views more  CGF 2007»
13 years 7 months ago
Ray-Casted BlockMaps for Large Urban Models Visualization
We introduce a GPU-friendly technique that efficiently exploits the highly structured nature of urban environments to ensure rendering quality and interactive performance of city...
Paolo Cignoni, Marco Di Benedetto, Fabio Ganovelli...
CVPR
2009
IEEE
15 years 2 months ago
Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework
Given an image, we propose a hierarchical generative model that classifies the overall scene, recognizes and segments each object component, as well as annotates the image with ...
Fei-Fei Li 0002, Li-Jia Li, Richard Socher
PAMI
2011
13 years 2 months ago
Multiperson Visual Focus of Attention from Head Pose and Meeting Contextual Cues
—This paper introduces a novel contextual model for the recognition of people’s visual focus of attention (VFOA) in meetings from audio-visual perceptual cues. More specificall...
Sileye O. Ba, Jean-Marc Odobez