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CGA
2005
15 years 6 months ago
Bounded Blending for Function-Based Shape Modeling
We propose new analytical formulations of bounded blending operations for the function-based constructive shape modeling. The blending set operations are defined using R-functions...
Galina Pasko, Alexander A. Pasko, Tosiyasu L. Kuni...
CN
2002
98views more  CN 2002»
15 years 6 months ago
Modeling random early detection in a differentiated services network
An analytical framework for modeling a network of Random Early Detection (RED) queues with mixed traffic types (e.g. TCP and UDP) is developed. Expressions for the steady state go...
Alhussein A. Abouzeid, Sumit Roy
168
Voted
TSE
1998
131views more  TSE 1998»
15 years 6 months ago
Experiences Using Lightweight Formal Methods for Requirements Modeling
—This paper describes three case studies in the lightweight application of formal methods to requirements modeling for spacecraft fault protection systems. The case studies diffe...
Steve M. Easterbrook, Robyn R. Lutz, Richard Covin...
MVA
2007
309views Computer Vision» more  MVA 2007»
15 years 6 months ago
Robust Facial Feature Extraction Using Embedded Hidden Markov Model for Face Recognition under Large Pose Variation
We propose an algorithm for extracting facial features robustly from images for face recognition under large pose variation. Rectangular facial features are retrieved via the by-p...
Ping-Han Lee, Yun-Wen Wang, Jison Hsu, Ming-Hsuan ...
167
Voted
PRL
2007
131views more  PRL 2007»
15 years 6 months ago
A new look at discriminative training for hidden Markov models
ct 7 Discriminative training for hidden Markov models (HMMs) has been a central theme in speech recognition research for many years. 8 One most popular technique is minimum classiï...
Xiaodong He, Li Deng