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» Using feature models to automate model transformations
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ACIVS
2006
Springer
15 years 3 months ago
Context-Based Scene Recognition Using Bayesian Networks with Scale-Invariant Feature Transform
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
Seung-Bin Im, Sung-Bae Cho
CVPR
2004
IEEE
16 years 1 months ago
Flexible Spatial Models for Grouping Local Image Features
A key step for the effective use of local image features (i.e., highly distinctive and robust features) for recognition or image matching is the appropriate grouping of feature ma...
Gustavo Carneiro, Allan D. Jepson
WORDS
2003
IEEE
15 years 4 months ago
Weaving Aspects into Real-Time Operating System Design Using Object-Oriented Model Transformation
Despite of the proliferation of object-oriented and component technology, their application to real-time operating systems (RTOS) has been limited since most design concerns in RT...
Jiyong Park, Saehwa Kim, Seongsoo Hong
CSL
2002
Springer
14 years 11 months ago
Transformation streams and the HMM error model
The most popular model used in automatic speech recognition is the hidden Markov model (HMM). Though good performance has been obtained with such models there are well known limit...
M. J. F. Gales
ASE
2005
102views more  ASE 2005»
14 years 11 months ago
Modular Verification of Open Features Using Three-Valued Model Checking
Feature-oriented programming organizes programs around features rather than objects, thus better supporting extensible, product-line architectures. Programming languages increasin...
Harry C. Li, Shriram Krishnamurthi, Kathi Fisler