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JCNS
2010
104views more  JCNS 2010»
15 years 6 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...
ICRA
2006
IEEE
81views Robotics» more  ICRA 2006»
16 years 1 months ago
Uncertainty Ellipsoids Calculations for Complex 3D Reconstructions
— Many methods exist for the automatic and optimal 3D reconstruction of camera motion and scene structure from image sequence (’Structure from Motion‘ or SfM). The solution t...
Maxime Lhuillier, Mathieu Perriollat
ICML
2010
IEEE
15 years 8 months ago
From Transformation-Based Dimensionality Reduction to Feature Selection
Many learning applications are characterized by high dimensions. Usually not all of these dimensions are relevant and some are redundant. There are two main approaches to reduce d...
Mahdokht Masaeli, Glenn Fung, Jennifer G. Dy
TSMC
2002
137views more  TSMC 2002»
15 years 7 months ago
An evolutionary tabu search for cell image segmentation
Many problems in practically all fields of science, engineering and technology involve global optimization. It becomes more and more important to develop the efficient global opti...
Tianzi Jiang, Faguo Yang
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 11 months ago
Epsilon-constraint with an efficient cultured differential evolution
In this paper we present the use of a previously developed single-objective optimization approach, together with the -constraint method, to provide an approximation of the Pareto ...
Ricardo Landa Becerra, Carlos A. Coello Coello