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» Expected Sequence Similarity Maximization
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ICRA
2005
IEEE
150views Robotics» more  ICRA 2005»
13 years 12 months ago
Learning Sensor Network Topology through Monte Carlo Expectation Maximization
— We consider the problem of inferring sensor positions and a topological (i.e. qualitative) map of an environment given a set of cameras with non-overlapping fields of view. In...
Dimitri Marinakis, Gregory Dudek, David J. Fleet
CVPR
2004
IEEE
14 years 8 months ago
Atlanta World: An Expectation Maximization Framework for Simultaneous Low-Level Edge Grouping and Camera Calibration in Complex
Edges in man-made environments, grouped according to vanishing point directions, provide single-view constraints that have been exploited before as a precursor to both scene under...
Grant Schindler, Frank Dellaert
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
14 years 28 days ago
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
Kanishka Bhaduri, Ashok N. Srivastava
BMCBI
2008
120views more  BMCBI 2008»
13 years 6 months ago
E-CAI: a novel server to estimate an expected value of Codon Adaptation Index (eCAI)
Background: The Codon Adaptation Index (CAI) is a measure of the synonymous codon usage bias for a DNA or RNA sequence. It quantifies the similarity between the synonymous codon u...
Pere Puigbò, Ignacio G. Bravo, Santiago Gar...
ATAL
2006
Springer
13 years 10 months ago
Sequences of take-it-or-leave-it offers: near-optimal auctions without full valuation revelation
Abstract. We introduce take-it-or-leave-it auctions (TLAs) as an allocation mechanism that allows buyers to retain much of their private valuation information, yet generates close-...
Tuomas Sandholm, Andrew Gilpin