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» Using Data Mining to Estimate Missing Sensor Data
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CVPR
2008
IEEE
15 years 11 months ago
Particle filtering for registration of 2D and 3D point sets with stochastic dynamics
In this paper, we propose a particle filtering approach for the problem of registering two point sets that differ by a rigid body transformation. Typically, registration algorithm...
Romeil Sandhu, Samuel Dambreville, Allen Tannenbau...
ICASSP
2008
IEEE
15 years 3 months ago
An information theoretic approach to processing management
In region surveillance applications, sensors oftentimes accumulate an overwhelmingly large amount of data, making it infeasible to process all of the collected data in real-time. ...
Christopher M. Kreucher, Kevin M. Carter
JAIR
2012
254views Hardware» more  JAIR 2012»
12 years 12 months ago
Completeness Guarantees for Incomplete Ontology Reasoners: Theory and Practice
To achieve scalability of query answering, the developers of Semantic Web applications are often forced to use incomplete OWL 2 reasoners, which fail to derive all answers for at ...
Bernardo Cuenca Grau, Boris Motik, Giorgos Stoilos...
CDC
2010
IEEE
138views Control Systems» more  CDC 2010»
14 years 4 months ago
Design of a navigation filter by analysis of local observability
This paper presents an inertial navigation filter designed for an automotive vehicle not equipped with any GPS receiver. The task of this filter is to provide relative position inf...
Pierre-Jean Bristeau, Nicolas Petit, Laurent Praly
PROMISE
2010
14 years 4 months ago
Case-based reasoning vs parametric models for software quality optimization
Background: There are many data mining methods but few comparisons between them. For example, there are at least two ways to build quality optimizers, programs that find project o...
Adam Brady, Tim Menzies