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» Scale-Time Kernels and Models
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SGP
2004
13 years 11 months ago
A Remeshing Approach to Multiresolution Modeling
Providing a thorough mathematical foundation, multiresolution modeling is the standard approach for global surface deformations that preserve fine surface details in an intuitive ...
Mario Botsch, Leif Kobbelt
CVPR
2010
IEEE
13 years 9 months ago
Robust RVM regression using sparse outlier model
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
IJCV
2007
145views more  IJCV 2007»
13 years 8 months ago
Building Outline Extraction from Digital Elevation Models Using Marked Point Processes
— This work presents an automatic algorithm for extracting vectorial land registers from altimetric data in dense urban areas. We focus on elementary shape extraction and propose...
Mathias Ortner, Xavier Descombes, Josiane Zerubia
JMM2
2007
148views more  JMM2 2007»
13 years 8 months ago
Object Segmentation Using Background Modelling and Cascaded Change Detection
— The automatic extraction and analysis of visual information is becoming generalised. The first step in this processing chain is usually separating or segmenting the captured v...
Luís Filipe Teixeira, Jaime S. Cardoso, Lu&...
PR
2007
104views more  PR 2007»
13 years 8 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet