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APBC
2004
116views Bioinformatics» more  APBC 2004»
15 years 7 months ago
Evolving Genetic Regulatory Networks Using an Artificial Genome
Boolean models of genetic regulatory networks (GRNs) have been shown to exhibit many of the characteristic dynamics of real GRNs, with gene expression patterns settling to point a...
Jennifer Hallinan, Janet Wiles
SODA
1993
ACM
119views Algorithms» more  SODA 1993»
15 years 7 months ago
Iterated Nearest Neighbors and Finding Minimal Polytopes
We introduce a new method for nding several types of optimal k-point sets, minimizing perimeter, diameter, circumradius, and related measures, by testing sets of the O(k) nearest ...
David Eppstein, Jeff Erickson
DMIN
2009
132views Data Mining» more  DMIN 2009»
15 years 4 months ago
Understanding Support Vector Machine Classifications via a Recommender System-Like Approach
Support vector machines are a valuable tool for making classifications, but their black-box nature means that they lack the natural explanatory value that many other classifiers po...
David Barbella, Sami Benzaid, Janara M. Christense...
ICRA
2006
IEEE
81views Robotics» more  ICRA 2006»
16 years 11 days ago
Uncertainty Ellipsoids Calculations for Complex 3D Reconstructions
— Many methods exist for the automatic and optimal 3D reconstruction of camera motion and scene structure from image sequence (’Structure from Motion‘ or SfM). The solution t...
Maxime Lhuillier, Mathieu Perriollat
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer