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JCNS
2010
104views more  JCNS 2010»
13 years 4 months ago
A new look at state-space models for neural data
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...
LION
2007
Springer
198views Optimization» more  LION 2007»
14 years 12 days ago
Multiobjective Landscape Analysis and the Generalized Assignment Problem
The importance of tuning a search algorithm for the specific features of the target search space has been known for quite some time. However, when dealing with multiobjective prob...
Deon Garrett, Dipankar Dasgupta
HUMO
2000
Springer
13 years 9 months ago
Modeling the Constraints of Human Hand Motion
Hand motion capturing is one of the most important parts of gesture interfaces. Many current approaches to this task generally involve a formidable nonlinear optimization problem ...
John Y. Lin, Ying Wu, Thomas S. Huang
CORR
2008
Springer
156views Education» more  CORR 2008»
13 years 6 months ago
Artificial Immune Systems (AIS) - A New Paradigm for Heuristic Decision Making
Over the last few years, more and more heuristic decision making techniques have been inspired by nature, e.g. evolutionary algorithms, ant colony optimisation and simulated annea...
Uwe Aickelin
SBBD
2004
106views Database» more  SBBD 2004»
13 years 7 months ago
Twisting the Metric Space to Achieve Better Metric Trees
In order to index text fields in XML databases for similarity queries, M-Trees may be applied. However, some datasets experiments using M-Trees for this purpose resulted in low qu...
César Feijó Nadvorny, Carlos A. Heus...