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BMVC
1998
15 years 8 months ago
Building Shape Models from Image Sequences using Piecewise Linear Approximation
A method of extracting, classifying and modelling non-rigid shapes from an image sequence is presented. Shapes are approximated by polygons where the number of sides is related to...
Derek R. Magee, Roger D. Boyle
ICAC
2005
IEEE
16 years 9 days ago
Model-Driven Placement of Compute Tasks and Data in a Networked Utility
An important problem in resource management for networked resource-sharing systems is the simultaneous allocation of multiple resources to an application. Selfoptimizing systems m...
Piyush Shivam, Adriana Iamnitchi, Aydan R. Yumeref...
BMVC
2002
15 years 9 months ago
g-HDAF Multiresolution Deformable Models for Shape Modeling and Reconstruction
In this paper, we construct a new class of deformable models using new biorthogonal wavelets, named Generalized Hermite Distributed Approximating Functional (g-HDAF) Wavelets. The...
Ioannis A. Kakadiaris, Emmanuel Papadakis, Lixin S...
CAIP
2001
Springer
166views Image Analysis» more  CAIP 2001»
15 years 11 months ago
Application of Adaptive Hypergraph Model to Impulsive Noise Detection
In this paper, using hypergraph theory, we introduce an image model called Adaptive Image Neighborhood Hypergraph (AINH). From this model we propose a combinatorial definition of ...
Soufiane Rital, Alain Bretto, Driss Aboutajdine, H...
197
Voted
KDD
2007
ACM
124views Data Mining» more  KDD 2007»
16 years 25 days ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler