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PR
2008
218views more  PR 2008»
14 years 9 months ago
Automatic feature localisation with constrained local models
We present an efficient and robust method of locating a set of feature points in an object of interest. From a training set we construct a joint model of the appearance of each fe...
David Cristinacce, Timothy F. Cootes
101
Voted
BC
2005
127views more  BC 2005»
14 years 9 months ago
Computational modeling and exploration of contour integration for visual saliency
Abstract Weproposeacomputationalmodelofcontourintegration for visual saliency. The model uses biologically plausible devices to simulate how the representations of elements aligned...
T. Nathan Mundhenk, Laurent Itti
83
Voted
CAD
2005
Springer
14 years 9 months ago
Optimizing the topological and combinatorial complexity of isosurfaces
Since the publication of the original Marching Cubes algorithm, numerous variations have been proposed for guaranteeing water-tight constructions of triangulated approximations of...
Carlos Andújar, Pere Brunet, Antoni Chica, ...
GIS
2004
ACM
15 years 10 months ago
An abstract model of three-dimensional spatial data types
act Model of Three-Dimensional Spatial Data Types Markus Schneider & Brian E Weinrich University of Florida Department of Computer & Information Science & Engineering G...
Markus Schneider, Brian E. Weinrich
86
Voted
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
15 years 10 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson