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» A Hierarchical Latent Variable Model for Data Visualization
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BMVC
2010
13 years 6 months ago
Probabilistic Latent Sequential Motifs: Discovering Temporal Activity Patterns in Video Scenes
This paper introduces a novel probabilistic activity modeling approach that mines recurrent sequential patterns from documents given as word-time occurrences. In this model, docum...
Jagannadan Varadarajan, Rémi Emonet, Jean-M...
COSIT
2009
Springer
134views GIS» more  COSIT 2009»
14 years 3 months ago
Evaluating the Effectiveness and Efficiency of Visual Variables for Geographic Information Visualization
We propose an empirical, perception-based evaluation approach for assessing the effectiveness and efficiency of longstanding cartographic design principles applied to 2D map displa...
Simone Garlandini, Sara Irina Fabrikant
WWW
2010
ACM
14 years 3 months ago
Modeling relationship strength in online social networks
Previous work analyzing social networks has mainly focused on binary friendship relations. However, in online social networks the low cost of link formation can lead to networks w...
Rongjing Xiang, Jennifer Neville, Monica Rogati
EGPGV
2004
Springer
143views Visualization» more  EGPGV 2004»
14 years 2 months ago
Massive Data Pre-Processing with a Cluster Based Approach
Data coming from complex simulation models reach easily dimensions much greater than available computational resources. Visualization of such data still represents the most intuit...
Rita Borgo, Valerio Pascucci, Roberto Scopigno
SDM
2009
SIAM
394views Data Mining» more  SDM 2009»
14 years 6 months ago
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
Oksana Yakhnenko, Vasant Honavar