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IROS
2006
IEEE
142views Robotics» more  IROS 2006»
15 years 9 months ago
Using Hidden Markov Models to Generate Natural Humanoid Movement
— This paper proposes a Hidden Markov Model (HMM) based approach to generate human-like movements for humanoid robots. Given human motion capture data for a class of movements, p...
Junghyun Kwon, Frank C. Park
BMCBI
2004
79views more  BMCBI 2004»
15 years 3 months ago
A new mixture model approach to analyzing allelic-loss data using Bayes factors
Background: Allelic-loss studies record data on the loss of genetic material in tumor tissue relative to normal tissue at various loci along the genome. As the deletion of a tumor...
Manisha Desai, Mary J. Emond
WCE
2007
15 years 4 months ago
Performing Early Feasibility Studies of Software Development Projects Using Business Process Models
—A new approach to perform feasibility studies using business process models is proposed. The utilization of the improved Role Activity Diagram notations has led to the extractio...
Ayman Issa, Faisal A. Abu Rub
178
Voted
SPLC
2007
15 years 4 months ago
Product Line Implementation using Aspect-Oriented and Model-Driven Software Development
Software product line engineering aims to reduce development time, effort, cost, and complexity by taking advantage of the commonality within a portfolio of similar products. The ...
Markus Völter, Iris Groher
SIGMETRICS
2008
ACM
130views Hardware» more  SIGMETRICS 2008»
15 years 3 months ago
Using probabilistic model checking in systems biology
Probabilistic model checking is a formal verification framework for systems which exhibit stochastic behaviour. It has been successfully applied to a wide range of domains, includ...
Marta Z. Kwiatkowska, Gethin Norman, David Parker