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JAIR
1998
198views more  JAIR 1998»
13 years 6 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
ICPR
2000
IEEE
14 years 7 months ago
Detecting Rotational Symmetries Using Normalized Convolution
Perceptual experiments indicate that corners and curvature are very important features in the process of recognition. This paper presents a new method to detect rotational symmetr...
Björn Johansson, Gösta H. Granlund, Hans...
IPSN
2005
Springer
14 years 6 days ago
Statistical model of lossy links in wireless sensor networks
Abstract— Recently, several wireless sensor network studies demonstrated large discrepancies between experimentally observed communication properties and properties produced by w...
Alberto Cerpa, Jennifer L. Wong, Louane Kuang, Mio...
VLSISP
2011
358views Database» more  VLSISP 2011»
13 years 1 months ago
Accelerating Machine-Learning Algorithms on FPGAs using Pattern-Based Decomposition
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
JAIR
2008
93views more  JAIR 2008»
13 years 6 months ago
A Rigorously Bayesian Beam Model and an Adaptive Full Scan Model for Range Finders in Dynamic Environments
This paper proposes and experimentally validates a Bayesian network model of a range finder adapted to dynamic environments. All modeling assumptions are rigorously explained, and...
Tinne De Laet, Joris De Schutter, Herman Bruyninck...