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» Application of Level Set Methods in Computer Vision
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CVPR
2011
IEEE
15 years 3 months ago
2.5D Building Modeling with Topology Control
2.5D building reconstruction aims at creating building models composed of complex roofs and vertical walls. In this paper, we define 2.5D building topology as a set of roof featu...
Qian-Yi Zhou, Ulrich Neumann
CVPR
2006
IEEE
15 years 11 months ago
Accurate Tracking of Monotonically Advancing Fronts
A wide range of computer vision applications such as distance field computation, shape from shading, and shape representation require an accurate solution of a particular Hamilton...
M. Sabry Hassouna, Aly A. Farag
CVPR
2008
IEEE
16 years 9 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
BMCBI
2006
148views more  BMCBI 2006»
15 years 7 months ago
Exploiting the full power of temporal gene expression profiling through a new statistical test: Application to the analysis of m
Background: The identification of biologically interesting genes in a temporal expression profiling dataset is challenging and complicated by high levels of experimental noise. Mo...
Veronica Vinciotti, Xiaohui Liu, Rolf Turk, Emile ...
NC
2006
132views Neural Networks» more  NC 2006»
15 years 7 months ago
Learning short multivariate time series models through evolutionary and sparse matrix computation
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
Stephen Swift, Joost N. Kok, Xiaohui Liu