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» Introduction to Randomized Algorithms
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FIMH
2009
Springer
15 years 1 months ago
Random Forest Classification for Automatic Delineation of Myocardium in Real-Time 3D Echocardiography
Automatic delineation of the myocardium in real-time 3D echocardiography may be used to aid the diagnosis of heart problems such as ischaemia, by enabling quantification of wall th...
Victor S. Lempitsky, Michael Verhoek, J. Alison No...
135
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CDC
2010
IEEE
120views Control Systems» more  CDC 2010»
14 years 10 months ago
Statistical properties of the error covariance in a Kalman filter with random measurement losses
In this paper we study statistical properties of the error covariance matrix of a Kalman filter, when it is subject to random measurement losses. We introduce a sequence of tighter...
Eduardo Rohr, Damián Marelli, Minyue Fu
AAAI
2011
14 years 3 months ago
Fast Newton-CG Method for Batch Learning of Conditional Random Fields
We propose a fast batch learning method for linearchain Conditional Random Fields (CRFs) based on Newton-CG methods. Newton-CG methods are a variant of Newton method for high-dime...
Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Ok...
171
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AIME
2011
Springer
14 years 3 months ago
Diagnosis Code Assignment Support Using Random Indexing of Patient Records - A Qualitative Feasibility Study
Abstract. The prediction of diagnosis codes is typically based on freetext entries in clinical documents. Previous attempts to tackle this problem range from strictly rule-based sy...
Aron Henriksson, Martin Hassel, Maria Kvist
129
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CORR
2012
Springer
222views Education» more  CORR 2012»
13 years 11 months ago
A limit process for partial match queries in random quadtrees
We consider the problem of recovering items matching a partially specified pattern in multidimensional trees (quad trees and k-d trees). We assume the classical model where the d...
Nicolas Broutin, Ralph Neininger, Henning Sulzbach