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» A Note on Dynamic Data Driven Wildfire Modeling
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ICCS
2005
Springer
15 years 3 months ago
A Computational Model of Micro-vascular Growth
In order to supply a growing tissue with oxygen and nutrients and to remove its metabolic wastes, blood vessels penetrating the tissue are formed. Multiple mechanisms are involved ...
Dominik Szczerba, Gábor Székely
76
Voted
CORR
2012
Springer
187views Education» more  CORR 2012»
13 years 5 months ago
Sequential Inference for Latent Force Models
Latent force models (LFMs) are hybrid models combining mechanistic principles with non-parametric components. In this article, we shall show how LFMs can be equivalently formulate...
Jouni Hartikainen, Simo Särkkä
ECML
2006
Springer
15 years 1 months ago
Learning Process Models with Missing Data
Abstract. In this paper, we review the task of inductive process modeling, which uses domain knowledge to compose explanatory models of continuous dynamic systems. Next we discuss ...
Will Bridewell, Pat Langley, Steve Racunas, Stuart...
ICDAR
2007
IEEE
15 years 4 months ago
Handwritten Word Recognition Using Conditional Random Fields
The paper describes a lexicon driven approach for word recognition on handwritten documents using Conditional Random Fields(CRFs). CRFs are discriminative models and do not make a...
Shravya Shetty, Harish Srinivasan, Sargur N. Sriha...
CRV
2006
IEEE
187views Robotics» more  CRV 2006»
15 years 1 months ago
Confidence Based updation of Motion Conspicuity in Dynamic Scenes
Computational models of visual attention result in considerable data compression by eliminating processing on regions likely to be devoid of meaningful content. While saliency map...
Vivek Kumar Singh, Subhransu Maji, Amitabha Mukerj...