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» On the convergence of Hill's method
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ALMOB
2007
129views more  ALMOB 2007»
15 years 1 months ago
Consistency of the Neighbor-Net Algorithm
Background: Neighbor-Net is a novel method for phylogenetic analysis that is currently being widely used in areas such as virology, bacteriology, and plant evolution. Given an inp...
David Bryant, Vincent Moulton, Andreas Spillner
129
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JACIII
2008
148views more  JACIII 2008»
15 years 1 months ago
Optimal Route Based on Dynamic Programming for Road Networks
Abstract. One of the main functions of the traffic navigation systems is to find the optimal route to the destination. In this paper, we propose an iterative Q value updating algor...
Manoj Kanta Mainali, Kaoru Shimada, Shingo Mabu, K...
126
Voted
JMLR
2011
148views more  JMLR 2011»
14 years 8 months ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara

Publication
1851views
17 years 2 months ago
Cerebrovascular Segmentation from TOF Using Stochastic Models
In this paper, we present an automatic statistical approach for extracting 3D blood vessels from time-of-flight (TOF) magnetic resonance angiography (MRA) data. The voxels of the d...
M. Sabry Hassouna, Aly A. Farag, Stephen Hushek, T...
CVPR
2008
IEEE
16 years 3 months ago
Generalised blurring mean-shift algorithms for nonparametric clustering
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
Miguel Á. Carreira-Perpiñán