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» Smooth Optimization with Approximate Gradient
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98
Voted
MCS
2005
Springer
15 years 6 months ago
Between Two Extremes: Examining Decompositions of the Ensemble Objective Function
We study how the error of an ensemble regression estimator can be decomposed into two components: one accounting for the individual errors and the other accounting for the correlat...
Gavin Brown, Jeremy L. Wyatt, Ping Sun
135
Voted
EMMCVPR
1999
Springer
15 years 4 months ago
Adaptive Bayesian Contour Estimation: A Vector Space Representation Approach
Abstract. We propose a vector representation approach to contour estimation from noisy data. Images are modeled as random elds composed of a set of homogeneous regions contours (bo...
José M. B. Dias
102
Voted
HYBRID
2009
Springer
15 years 3 months ago
Distributed Wombling by Robotic Sensor Networks
This paper proposes a distributed coordination algorithm for robotic sensor networks to detect boundaries that separate areas of abrupt change of spatial phenomena. We consider an ...
Jorge Cortés
101
Voted
ICPR
2010
IEEE
14 years 10 months ago
A Recursive and Model-Constrained Region Splitting Algorithm for Cell Clump Decomposition
Decomposition of cells in clumps is a difficult segmentation task requiring region splitting techniques. Techniques that do not employ prior shape constraints usually fail to achi...
Wei Xiong, Sim Heng Ong, Joo-Hwee Lim
84
Voted
JCNS
2010
104views more  JCNS 2010»
14 years 11 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...