Sciweavers

INFOCOM
1999
IEEE
14 years 25 days ago
Multicast-Based Inference of Network-Internal Characteristics: Accuracy of Packet Loss Estimation
Abstract--We explore the use of end-to-end multicast traffic as measurement probes to infer network-internal characteristics. We have developed in an earlier paper [2] a Maximum Li...
Ramón Cáceres, Nick G. Duffield, Jos...
ECSQARU
2009
Springer
14 years 1 months ago
Inference from Multinomial Data Based on a MLE-Dominance Criterion
We consider the problem of inference from multinomial data with chances θ, subject to the a-priori information that the true parameter vector θ belongs to a known convex polytope...
Alessio Benavoli, Cassio P. de Campos
BIBE
2007
IEEE
168views Bioinformatics» more  BIBE 2007»
14 years 2 months ago
Tissue Identification in Ultrasound Images using Rayleigh Local Parameter Estimation
A method to identify different tissues in ultrasound images is presented. Assuming a Rayleigh modelfor speckle, the different tissues present in the image will be related to the R...
Santiago Aja-Fernández, Marcos Martí...
ICASSP
2008
IEEE
14 years 3 months ago
Bounds and algorithms for time delay estimation on parallel, flat fading channels
We study time delay estimation (TDE) on parallel channels with flat fading. Several models for the channel gains are considered, and for each case we present the the maximum like...
Richard J. Kozick, Brian M. Sadler
EWSN
2006
Springer
14 years 8 months ago
Constrained Tracking on a Road Network
Many applications of wireless ad hoc sensor and actuator networks (WSANs) rely on the knowledge of node locations. These are challenging to obtain when nodes are mobile and are not...
Matthias Grossglauser, Michal Piórkowski
IPMI
1999
Springer
14 years 9 months ago
Continuous Time Dynamic PET Imaging Using List Mode Data
Abstract. We describe a method for computing a continuous time estimate of dynamic changes in tracer density using list mode PET data. The tracer density in each voxel is modeled a...
Thomas E. Nichols, Jinyi Qi, Richard M. Leahy
ICPR
2000
IEEE
14 years 9 months ago
Reduction of Bias in Maximum Likelihood Ellipse Fitting
An improved maximum likelihood estimator for ellipse fitting based on the heteroscedastic errors-in-variables (HEIV) regression algorithm is proposed. The technique significantly ...
Bogdan Matei, Peter Meer
ICPR
2006
IEEE
14 years 9 months ago
Domain Based LDA and QDA
We propose an alternative to probability density classifiers based on normal distributions LDA and QDA. Instead of estimating covariance matrices using the standard maximum likeli...
David M. J. Tax, Piotr Juszczak, Robert P. W. Duin...
ECCV
2004
Springer
14 years 10 months ago
A Robust Probabilistic Estimation Framework for Parametric Image Models
Models of spatial variation in images are central to a large number of low-level computer vision problems including segmentation, registration, and 3D structure detection. Often, i...
Maneesh Kumar Singh, Himanshu Arora, Narendra Ahuj...
CVPR
2008
IEEE
14 years 10 months ago
On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation
Linear inverse problems in computer vision, including motion estimation, shape fitting and image reconstruction, give rise to parameter estimation problems with highly correlated ...
Björn Andres, Claudia Kondermann, Daniel Kond...