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» A Note on Principal Point Estimability
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JCNS
2010
104views more  JCNS 2010»
13 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...
PAMI
2008
185views more  PAMI 2008»
13 years 8 months ago
Three-View Multibody Structure from Motion
We propose a geometric approach to 3D motion segmentation from point correspondences in three perspective views. We demonstrate that after applying a polynomial embedding to the po...
René Vidal, Richard Hartley
TROB
2008
169views more  TROB 2008»
13 years 7 months ago
Visual Servoing Based on Structure From Controlled Motion or on Robust Statistics
Abstract--This paper focuses on the way to achieve accurate visual servoing tasks when the shape of the object being observed as well as the desired image are unknown. More precise...
Christophe Collewet, François Chaumette
PAMI
2007
253views more  PAMI 2007»
13 years 7 months ago
Gaussian Mean-Shift Is an EM Algorithm
The mean-shift algorithm, based on ideas proposed by Fukunaga and Hostetler (1975), is a hill-climbing algorithm on the density defined by a finite mixture or a kernel density e...
Miguel Á. Carreira-Perpiñán
TASE
2008
IEEE
13 years 7 months ago
Sensor Selection in Arbitrary Dimensions
We address the sensor selection problem which arises in tracking and localization applications. In sensor selection, the goal is to select a small number of sensors whose measureme...
Volkan Isler, Malik Magdon-Ismail