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CDC
2008
IEEE
145views Control Systems» more  CDC 2008»
16 years 1 months ago
Parameter estimation with expected and residual-at-risk criteria
In this paper we study a class of uncertain linear estimation problems in which the data are affected by random uncertainty. In this setting, we consider two estimation criteria,...
Giuseppe Carlo Calafiore, Ufuk Topcu, Laurent El G...
PVLDB
2008
127views more  PVLDB 2008»
15 years 6 months ago
Hashed samples: selectivity estimators for set similarity selection queries
We study selectivity estimation techniques for set similarity queries. A wide variety of similarity measures for sets have been proposed in the past. In this work we concentrate o...
Marios Hadjieleftheriou, Xiaohui Yu, Nick Koudas, ...
CVPR
2008
IEEE
16 years 8 months ago
Optical flow estimation using Fourier Mellin Transform
In this paper, we propose a novel method of computing the optical flow using the Fourier Mellin Transform (FMT). Each image in a sequence is divided into a regular grid of patches...
Huy Tho Ho, Roland Göcke
ICCV
1999
IEEE
15 years 11 months ago
Multi-Frame Optical Flow Estimation using Subspace Constraints
We show that the set of all ow- elds in a sequence of frames imaging a rigid scene resides in a lowdimensional linear subspace. Based on this observation, we develop a method for ...
Michal Irani
AUSDM
2006
Springer
112views Data Mining» more  AUSDM 2006»
15 years 10 months ago
Accuracy Estimation With Clustered Dataset
If the dataset available to machine learning results from cluster sampling (e.g. patients from a sample of hospital wards), the usual cross-validation error rate estimate can lead...
Ricco Rakotomalala, Jean-Hugues Chauchat, Fran&cce...