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» Evolutionary Computation for Modeling and Optimization
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ISCSCT
2008
IEEE
16 years 1 months ago
Partial Relevance Feedback for 3D Model Retrieval
—Relevance feedback(RF) has been proved to be an effective way to improve the precision and recall of 3D model retrieval. However, the existing RF approaches do not consider whic...
Baokun Hu, Yusheng Liu, Shuming Gao, Jing Hu
ISPA
2005
Springer
16 years 10 days ago
Near Optimal Routing in a Small-World Network with Augmented Local Awareness
In order to investigate the routing aspects of small-world networks, Kleinberg [13] proposes a network model based on a d-dimensional lattice with long-range links chosen at random...
Jianyang Zeng, Wen-Jing Hsu, Jiangdian Wang
EMMCVPR
2001
Springer
15 years 11 months ago
Designing the Minimal Structure of Hidden Markov Model by Bisimulation
Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
Manuele Bicego, Agostino Dovier, Vittorio Murino
ECCV
2002
Springer
16 years 8 months ago
3D Statistical Shape Models Using Direct Optimisation of Description Length
We describe an automatic method for building optimal 3D statistical shape models from sets of training shapes. Although shape models show considerable promise as a basis for segmen...
Rhodri H. Davies, Carole J. Twining, Timothy F. Co...
DAC
2006
ACM
16 years 24 days ago
Use of C/C++ models for architecture exploration and verification of DSPs
Architectural decisions for DSP modules are often analyzed using high level C models. Such high-level explorations allow early examination of the algorithms and the architectural ...
David Brier, Raj S. Mitra