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NIPS
2007
15 years 5 months ago
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Charlie Frogner, Avi Pfeffer
BIBE
2007
IEEE
142views Bioinformatics» more  BIBE 2007»
15 years 10 months ago
An HV-SVM Classifier to Infer TF-TF Interactions Using Protein Domains and GO Annotations
—Interactions between transcription factors (TFs) are necessary for deciphering the complex mechanisms of transcription regulation in eukaryotes. In this paper, we proposed a nov...
Xiaoli Li, Jun-Xiang Lee, Bharadwaj Veeravalli, Se...
3DPVT
2006
IEEE
136views Visualization» more  3DPVT 2006»
15 years 10 months ago
Image Guided Geometry Inference
We introduce a new method for filling holes in geometry obtained from 3D range scanners. Our method makes use of 2D images of the areas where geometric data is missing. The 2D im...
Songhua Xu, Athinodoros S. Georghiades, Holly E. R...
IBERAMIA
2004
Springer
15 years 9 months ago
Statistical Inference in Mapping and Localization for Mobile Robots
In this paper we tackle the problem of providing a mobile robot with the ability to build a map of its environment using data gathered during navigation. The data correspond to the...
Anita Araneda, Alvaro Soto
DIAGRAMS
2006
Springer
15 years 7 months ago
Communicative Signals as the Key to Automated Understanding of Simple Bar Charts
This paper discusses the types of communicative signals that frequently appear in simple bar charts and how we exploit them as evidence in our system for inferring the intended mes...
Stephanie Elzer, Sandra Carberry, Seniz Demir