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» Modeling Uncertainty in Context-Aware Computing
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CVPR
2007
IEEE
14 years 12 months ago
On-line Simultaneous Learning and Tracking of Visual Feature Graphs
Model learning and tracking are two important topics in computer vision. While there are many applications where one of them is used to support the other, there are currently only...
Arnaud Declercq, Justus H. Piater
ICPR
2004
IEEE
14 years 11 months ago
Type-2 Fuzzy Hidden Markov Models to Phoneme Recognition
This paper presents a novel extension of Hidden Markov Models (HMMs): type-2 fuzzy HMMs (type-2 FHMMs). The advantage of this extension is that it can handle both randomness and f...
Jia Zeng, Zhi-Qiang Liu
ECAL
2003
Springer
14 years 3 months ago
Semantic Generalisation and the Inference of Meaning
Abstract. In this paper, a computational model of a successful negotiated communication system is presented, in which language agents develop their own meanings in response to thei...
Andrew D. M. Smith
MVA
2000
160views Computer Vision» more  MVA 2000»
13 years 11 months ago
Self-Calibration from Optical Flow and Its Reliability Evaluation
An algorithm is presented for 3-D reconstruction from optical flow observed by an uncalibrated camera. We show that by incorporating a statistical model of image noise, we can not...
Kenichi Kanatani
CVPR
2007
IEEE
14 years 12 months ago
Simultaneous Covariance Driven Correspondence (CDC) and Transformation Estimation in the Expectation Maximization Framework
This paper proposes a new registration algorithm, Covariance Driven Correspondences (CDC), that depends fundamentally on the estimation of uncertainty in point correspondences. Th...
Michal Sofka, Gehua Yang, Charles V. Stewart