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» On the sample mean of graphs
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PAMI
2007
176views more  PAMI 2007»
15 years 5 months ago
Approximate Labeling via Graph Cuts Based on Linear Programming
A new framework is presented for both understanding and developing graph-cut based combinatorial algorithms suitable for the approximate optimization of a very wide class of MRFs ...
Nikos Komodakis, Georgios Tziritas
ICASSP
2011
IEEE
14 years 10 months ago
Seismic waves estimation and wave field decomposition with factor graphs
Physical wave fields are often described by means of a vector field. Advances in sensor technology enable us to collect an increasing number of measurement at the same location ...
Stefano Maranò, Christoph Reller, Donat Fah...
ICML
2008
IEEE
16 years 7 months ago
Graph transduction via alternating minimization
Graph transduction methods label input data by learning a classification function that is regularized to exhibit smoothness along a graph over labeled and unlabeled samples. In pr...
Jun Wang, Tony Jebara, Shih-Fu Chang
BIRD
2008
Springer
141views Bioinformatics» more  BIRD 2008»
15 years 8 months ago
Nested q-Partial Graphs for Genetic Network Inference from "Small n, Large p" Microarray Data
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...
Kevin Kontos, Gianluca Bontempi
KDD
2009
ACM
167views Data Mining» more  KDD 2009»
16 years 6 months ago
SNARE: a link analytic system for graph labeling and risk detection
Classifying nodes in networks is a task with a wide range of applications. It can be particularly useful in anomaly and fraud detection. Many resources are invested in the task of...
Mary McGlohon, Stephen Bay, Markus G. Anderle, Dav...