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TSP
2010
13 years 3 months ago
Joint detection and estimation of multiple objects from image observations
The problem of jointly detecting multiple objects and estimating their states from image observations is formulated in a Bayesian framework by modeling the collection of states as ...
Ba-Ngu Vo, Ba-Tuong Vo, Nam-Trung Pham, David Sute...
PDP
2008
IEEE
14 years 3 months ago
Distributed Sparse Spatial Selection Indexes
Searching for similar objects in metric-space databases can be efficiently solved by using index data structures. A number of alternative sequential indexes have been proposed in...
Veronica Gil Costa, Mauricio Marín
ICPR
2002
IEEE
14 years 10 months ago
Context-Sensitive Bayesian Classifiers and Application to Mouse Pressure Pattern Classification
In this paper, we propose a new context-sensitive Bayesian learning algorithm. By modeling the distributions of data locations by a mixture of Gaussians, the new algorithm can uti...
Yuan (Alan) Qi, Rosalind W. Picard
CAIP
1995
Springer
189views Image Analysis» more  CAIP 1995»
14 years 16 days ago
Spatial and Feature Space Clustering: Applications in Image Analysis
We propose a novel approach to image segmentation, called feature and spatial domain clustering. The method is devised to group pixel data by taking into account simultaneously bo...
Jiri Matas, Josef Kittler
SECON
2008
IEEE
14 years 3 months ago
On Distributed Optimization Using Peer-to-Peer Communications in Wireless Sensor Networks
—We describe and evaluate a suite of distributed and computationally efficient algorithms for solving a class of convex optimization problems in wireless sensor networks. The pr...
Björn Johansson, Cesare M. Carretti, Mikael J...