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CVPR
2011
IEEE
15 years 2 months ago
Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds
Active learning and crowdsourcing are promising ways to efficiently build up training sets for object recognition, but thus far techniques are tested in artificially controlled ...
Sudheendra Vijayanarasimhan, Kristen Grauman
CDC
2010
IEEE
120views Control Systems» more  CDC 2010»
15 years 1 months ago
Statistical properties of the error covariance in a Kalman filter with random measurement losses
In this paper we study statistical properties of the error covariance matrix of a Kalman filter, when it is subject to random measurement losses. We introduce a sequence of tighter...
Eduardo Rohr, Damián Marelli, Minyue Fu
CORR
2011
Springer
175views Education» more  CORR 2011»
15 years 1 months ago
A Novel Probabilistic Pruning Approach to Speed Up Similarity Queries in Uncertain Databases
Abstract— In this paper, we propose a novel, effective and efficient probabilistic pruning criterion for probabilistic similarity queries on uncertain data. Our approach support...
Thomas Bernecker, Tobias Emrich, Hans-Peter Kriege...
JAIR
2011
166views more  JAIR 2011»
15 years 1 months ago
Decidability and Undecidability Results for Propositional Schemata
We define a logic of propositional formula schemata adding to the syntax of propositional logic indexed propositions (e.g., pi) and iterated connectives ∨ or ∧ ranging over i...
Vincent Aravantinos, Ricardo Caferra, Nicolas Pelt...
JDCTA
2010
126views more  JDCTA 2010»
15 years 25 days ago
Continuous Neural Decoding Method Based on General Regression Neural Network
Neural decoding is an important task for understanding how the biological nervous system performs computation and communication. This paper introduces a novel continuous neural de...
Jianhua Dai, Xiaochun Liu, Shaomin Zhang, Huaijian...