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» Application of Level Set Methods in Computer Vision
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ICCV
2003
IEEE
16 years 9 months ago
Linear Multi-View Reconstruction of Points, Lines, Planes and Cameras using a Reference Plane
This paper presents a new linear method for reconstructing simultaneously 3D features (points, lines and planes) and cameras from many perspective views by solving a single linear...
Carsten Rother
ICPR
2010
IEEE
15 years 11 months ago
Cell Tracking in Video Microscopy Using Bipartite Graph Matching
Automated visual tracking of cells from video microscopy has many important biomedical applications. In this paper, we model the problem of cell tracking over pairs of video micro...
Ananda Chowdhury, Rohit Chatterjee, Mayukh Ghosh, ...
ICML
2003
IEEE
16 years 8 months ago
Incorporating Diversity in Active Learning with Support Vector Machines
In many real world applications, active selection of training examples can significantly reduce the number of labelled training examples to learn a classification function. Differ...
Klaus Brinker
EUROPAR
2004
Springer
15 years 11 months ago
Efficient Parallel Hierarchical Clustering
Hierarchical agglomerative clustering (HAC) is a common clustering method that outputs a dendrogram showing all N levels of agglomerations where N is the number of objects in the d...
Manoranjan Dash, Simona Petrutiu, Peter Scheuerman...
DCOSS
2008
Springer
15 years 9 months ago
LiveNet: Using Passive Monitoring to Reconstruct Sensor Network Dynamics
We describe LiveNet, a set of tools and analysis methods for reconstructing the complex behavior of a deployed sensor network. LiveNet is based on the use of multiple passive packe...
Bor-rong Chen, Geoffrey Peterson, Geoffrey Mainlan...