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SIBGRAPI
2006
IEEE
15 years 10 months ago
Improving 2D mesh image segmentation with Markovian Random Fields
Traditional mesh segmentation methods normally operate on geometrical models with no image information. On the other hand, 2D image-based mesh generation and segmentation counterp...
Alex Jesus Cuadros-Vargas, Leandro C. Gerhardinger...
DAGM
2004
Springer
15 years 9 months ago
Learning from Labeled and Unlabeled Data Using Random Walks
We consider the general problem of learning from labeled and unlabeled data. Given a set of points, some of them are labeled, and the remaining points are unlabeled. The goal is to...
Dengyong Zhou, Bernhard Schölkopf
LATA
2010
Springer
15 years 9 months ago
A Randomized Numerical Aligner (rNA)
With the advent of new sequencing technologies able to produce an enormous quantity of short genomic sequences, new tools able to search for them inside a references sequence genom...
Alberto Policriti, Alexandru I. Tomescu, Francesco...
EMMCVPR
2001
Springer
15 years 8 months ago
A Hierarchical Markov Random Field Model for Figure-Ground Segregation
To segregate overlapping objects into depth layers requires the integration of local occlusion cues distributed over the entire image into a global percept. We propose to model thi...
Stella X. Yu, Tai Sing Lee, Takeo Kanade
ER
2001
Springer
136views Database» more  ER 2001»
15 years 8 months ago
A Randomized Approach for the Incremental Design of an Evolving Data Warehouse
A Data Warehouse (DW) can be used to integrate data from multiple distributed data sources. A DW can be seen as a set of materialized views that determine its schema and its conten...
Dimitri Theodoratos, Theodore Dalamagas, Alkis Sim...