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» Iterative methods for computing generalized inverses
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BMCBI
2007
219views more  BMCBI 2007»
13 years 7 months ago
MetaQTL: a package of new computational methods for the meta-analysis of QTL mapping experiments
Background: Integration of multiple results from Quantitative Trait Loci (QTL) studies is a key point to understand the genetic determinism of complex traits. Up to now many effor...
Jean-Baptiste Veyrieras, Bruno Goffinet, Alain Cha...
TOG
2010
129views more  TOG 2010»
13 years 2 months ago
Optical computing for fast light transport analysis
We present a general framework for analyzing the transport matrix of a real-world scene at full resolution, without capturing many photos. The key idea is to use projectors and ca...
Matthew O'Toole, Kiriakos N. Kutulakos
CIKM
2004
Springer
14 years 1 months ago
MRSSA: an iterative algorithm for similarity spreading over interrelated objects
We introduce the Multiple Relationship Similarity Spreading Algorithm (MRSSA) to enhance IR effectiveness. This method has similarity computed in an iterative “spreading” fash...
Gui-Rong Xue, Hua-Jun Zeng, Zheng Chen, Yong Yu, W...
ISIPTA
2003
IEEE
14 years 1 months ago
Convenient Interactive Computing for Coherent Imprecise Prevision Assessments
A generalization of deFinetti’s Fundamental Theorem of Probability facilitates coherent assessment, by iterated natural extension, of imprecise probabilities or expectations, co...
James Dickey
COMPGEOM
2009
ACM
14 years 12 days ago
k-means requires exponentially many iterations even in the plane
The k-means algorithm is a well-known method for partitioning n points that lie in the d-dimensional space into k clusters. Its main features are simplicity and speed in practice....
Andrea Vattani