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ICDM
2007
IEEE
173views Data Mining» more  ICDM 2007»
15 years 4 months ago
Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models
Statistical topic models such as the Latent Dirichlet Allocation (LDA) have emerged as an attractive framework to model, visualize and summarize large document collections in a co...
Ramesh Nallapati, Amr Ahmed, William W. Cohen, Eri...
CVPR
2009
IEEE
15 years 4 months ago
Random walks on graphs to model saliency in images
We formulate the problem of salient region detection in images as Markov random walks performed on images represented as graphs. While the global properties of the image are extra...
Viswanath Gopalakrishnan, Yiqun Hu, Deepu Rajan
SPATIALCOGNITION
2000
Springer
15 years 1 months ago
Modelling Navigational Knowledge by Route Graphs
Navigation has always been an interdisciplinary topic of research, because mobile agents of different types are inevitably faced with similar navigational problems. Therefore, huma...
Steffen Werner, Bernd Krieg-Brückner, Theo He...
SIBGRAPI
2008
IEEE
15 years 4 months ago
Structural Matching of 2D Electrophoresis Gels using Graph Models
2D electrophoresis is a well known method for protein separation which is extremely useful in the field of proteomics. Each spot in the image represents a protein accumulation an...
Alexandre Noma, Alvaro Pardo, Roberto Marcondes Ce...
ALT
2009
Springer
15 years 6 months ago
Learning Unknown Graphs
Motivated by a problem of targeted advertising in social networks, we introduce and study a new model of online learning on labeled graphs where the graph is initially unknown and...
Nicolò Cesa-Bianchi, Claudio Gentile, Fabio...