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» Application of Level Set Methods in Computer Vision
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WETICE
2006
IEEE
16 years 4 days ago
A Model-Driven Framework for Managing the QoS of Collaborative P2P Service-Based Applications
1 Distributed and collaborative applications are rapidly converging towards the adoption of a computing paradigm based on service-oriented architectures, according to which an appl...
Michele Angelaccio, Andrea D'Ambrogio
CVPR
2004
IEEE
16 years 8 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
ECCV
2008
Springer
16 years 8 months ago
Scale-Dependent/Invariant Local 3D Shape Descriptors for Fully Automatic Registration of Multiple Sets of Range Images
Abstract. Despite the ubiquitous use of range images in various computer vision applications, little has been investigated about the size variation of the local geometric structure...
John Novatnack, Ko Nishino
CF
2008
ACM
15 years 8 months ago
A distributed evolutionary method to design scheduling policies for volunteer computing
Volunteer Computing (VC) is a paradigm that takes advantage of idle cycles from computing resources donated by volunteers and connected through the Internet to compute large-scale...
Trilce Estrada, Olac Fuentes, Michela Taufer
ICPR
2010
IEEE
15 years 6 months ago
The Problem of Fragile Feature Subset Preference in Feature Selection Methods and a Proposal of Algorithmic Workaround
Abstract—We point out a problem inherent in the optimization scheme of many popular feature selection methods. It follows from the implicit assumption that higher feature selecti...
Petr Somol, Jiri Grim, Pavel Pudil