Filters
WaldBoost - Learning for Time Constrained Sequential Detection
If the false positive and false negative error rates are given, the optimal strategy in terms of the shortest average time to decision (number of measurements used) is the Wald's sequential probability ratio test (...
JD - Využití počítačů, robotika a její aplikace
- 2004 •
- O
Rok uplatnění
O - Ostatní výsledky
WaldBoost - Learning for Time Constrained Sequential Detection
to decision (number of measurements used) is the Wald's sequential probability ratio test (SPRT). We built on the optimal SPRT test and enlarge its capabilities to problems in the framework of sequent...
JD - Využití počítačů, robotika a její aplikace
- 2005 •
- D
Rok uplatnění
D - Stať ve sborníku
Efficient Sequential Correspondence Selection by Cosegmentation
discriminative direction by SVM. Wald's sequential probability ratio test is performed with a quasi-optimal sequential decision process leads to a correspondence verification. The sequential deci...
JD - Využití počítačů, robotika a její aplikace
- 2010 •
- Jx •
- Link
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Výsledek na webu
Efficient Sequential Correspondence Selection by Cosegmentation
direction by SVM. Wald's sequential probability ratio test is performed for SVM that a subsequent cosegmentation process coupled with a quasi-optimal sequential decision on SIFT distance ratios o...
JD - Využití počítačů, robotika a její aplikace
- 2008 •
- D
Rok uplatnění
D - Stať ve sborníku
Optimal Randomized RANSAC
of the optimality property is based on Wald's theory of sequential decision making, in particular, a modified sequential probability ratio test (SPRT). Next, the R-RANSAC method finds, like RANSAC, a solu...
JD - Využití počítačů, robotika a její aplikace
- 2008 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Randomized RANSAC with Sequential Probability Ratio Test
probability. A provably optimal model verification strategy is designed for the situation theory of sequential decision making. The R-RANSAC with SPRT, which does not require strategy, is introduced. We show experimentally that on ...
JD - Využití počítačů, robotika a její aplikace
- 2005 •
- D
Rok uplatnění
D - Stať ve sborníku
Sequential decision process supported by a compositional model
Main topics of the document: sequential decision-making; multidimensional models; probability distributions; composition; information theory......
AE - Řízení, správa a administrativa
- 2016 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Regular versus sequential stock investing: mean-variation range-probability of loss model
Main topics of the document: mean; portfolio; probability of loss; regular; sequential; stock; variation range...
Statistics and probability
- 2022 •
- D
Rok uplatnění
D - Stať ve sborníku
Learning Fast Emulators of Binary Decision Processes
We shows how existing binary decision algorithms can be approximated by a fast trained WaldBoost classifier. WaldBoost learning minimises the decision time of the classifier while guaranteeing predefined precision. The WaldBoost algorithm together wi...
JD - Využití počítačů, robotika a její aplikace
- 2009 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
EnMS: Early non-Maxima Suppression
by collecting statistics on unlabeled data. The article then considers a sequential strategyof multiple early non-Maxima suppression tests which follows the structure......
IN - Informatika
- 2012 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
- 1 - 10 out of 171 538