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SSPR
2010
Springer
15 years 5 months ago
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
André F. T. Martins, Manuele Bicego, Vittor...
TAOSD
2010
15 years 5 months ago
A Graph-Based Aspect Interference Detection Approach for UML-Based Aspect-Oriented Models
Abstract. Aspect Oriented Modeling (AOM) techniques facilitate separate modeling of concerns and allow for a more flexible composition of these than traditional modeling technique...
Selim Ciraci, Wilke Havinga, Mehmet Aksit, Christo...
TSE
2010
118views more  TSE 2010»
15 years 5 months ago
Exception Handling Patterns for Process Modeling
—Process modeling allows for analysis and improvement of processes that coordinate multiple people and tools working together to carry out a task. Process modeling typically focu...
Barbara Staudt Lerner, Stefan Christov, Leon J. Os...
168
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TVCG
2010
151views more  TVCG 2010»
15 years 5 months ago
Uncertainty-Aware Guided Volume Segmentation
—Although direct volume rendering is established as a powerful tool for the visualization of volumetric data, efficient and reliable feature detection is still an open topic. Us...
Jörg-Stefan Praßni, Timo Ropinski, Klau...
WABI
2010
Springer
167views Bioinformatics» more  WABI 2010»
15 years 5 months ago
Quantifying the Strength of Natural Selection of a Motif Sequence
Quantification of selective pressures on regulatory sequences is a central question in studying the evolution of gene regulatory networks. Previous methods focus primarily on sing...
Chen-Hsiang Yeang