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GECCO
2005
Springer
149views Optimization» more  GECCO 2005»
16 years 5 days ago
There's more to a model than code: understanding and formalizing in silico modeling experience
Mapping biology into computation has both a domain specific aspect – biological theory – and a methodological aspect – model development. Computational modelers have implici...
Janet Wiles, Nicholas Geard, James Watson, Kai Wil...
AICCSA
2006
IEEE
137views Hardware» more  AICCSA 2006»
16 years 22 days ago
Modeling Redundancy: Quantitative and Qualitative Models
Redundancy is a system property that generally refers to duplication of state information or system function. While redundancy is usually investigated in the context of fault tole...
Ali Mili, Lan Wu, Frederick T. Sheldon, Mark Shere...
AIPR
2001
IEEE
15 years 10 months ago
Model-Based Face Tracking for Dense Motion Field Estimation
When estimating the dense motion field of a video sequence, if little is known or assumed about the content, a limited constraint approach such as optical flow must be used. Since...
Timothy F. Gee, Russell M. Mersereau
NIPS
2007
15 years 8 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
DASFAA
2008
IEEE
188views Database» more  DASFAA 2008»
16 years 1 months ago
Summarization Graph Indexing: Beyond Frequent Structure-Based Approach
Graph is an important data structure to model complex structural data, such as chemical compounds, proteins, and XML documents. Among many graph data-based applications, sub-graph ...
Lei Zou, Lei Chen 0002, Huaming Zhang, Yansheng Lu...