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» The Measurable Space of Stochastic Processes
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3DPVT
2006
IEEE
295views Visualization» more  3DPVT 2006»
13 years 12 months ago
Efficient Sparse 3D Reconstruction by Space Sweeping
This paper introduces a feature based method for the fast generation of sparse 3D point clouds from multiple images with known pose. We extract sub-pixel edge elements (2D positio...
Joachim Bauer, Christopher Zach, Horst Bischof
FUIN
2002
63views more  FUIN 2002»
13 years 9 months ago
Probabilistic Cluster Unfoldings
Abstract. This article introduces probabilistic cluster branching processes, a probabilistic unfolding semantics for untimed Petri nets, with no structural or safety assumptions, g...
Stefan Haar
RECOMB
2000
Springer
14 years 1 months ago
Using Bayesian networks to analyze expression data
DNA hybridization arrays simultaneously measure the expression level for thousands of genes. These measurements provide a "snapshot" of transcription levels within the c...
Nir Friedman, Michal Linial, Iftach Nachman, Dana ...
TC
1998
13 years 9 months ago
Optimal Zero-Aliasing Space Compaction of Test Responses
—Many built-in self-testing (BIST) schemes compress the test responses from a k-output circuit to q signature streams, where q << k, a process termed space compaction. The ...
Krishnendu Chakrabarty, Brian T. Murray, John P. H...
DAGM
2009
Springer
14 years 4 months ago
Multi-view Object Detection Based on Spatial Consistency in a Low Dimensional Space
This paper describes a new approach for detecting objects based on measuring the spatial consistency between different parts of an object. These parts are pre-defined on a set of...
Gurman Gill, Martin Levine