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118
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ICIAP
2007
ACM
16 years 5 months ago
Sparseness Achievement in Hidden Markov Models
In this paper, a novel learning algorithm for Hidden Markov Models (HMMs) has been devised. The key issue is the achievement of a sparse model, i.e., a model in which all irreleva...
Manuele Bicego, Marco Cristani, Vittorio Murino
ICPR
2004
IEEE
16 years 6 months ago
Bernoulli Mixture Models for Binary Images
Mixture modelling is a hot area in pattern recognition. Although most research in this area has focused on mixtures for continuous data, there are many pattern recognition tasks f...
Alfons Juan, Enrique Vidal
ENTCS
2008
118views more  ENTCS 2008»
15 years 3 months ago
Shared Hash Tables in Parallel Model Checking
In light of recent shift towards shared-memory systems in parallel explicit model checking, we explore relative advantages and disadvantages of shared versus private hash tables. ...
Jiri Barnat, Petr Rockai
GMP
2006
IEEE
155views Solid Modeling» more  GMP 2006»
15 years 11 months ago
Geometric Accuracy Analysis for Discrete Surface Approximation
In geometric modeling and processing, computer graphics and computer vision, smooth surfaces are approximated by discrete triangular meshes reconstructed from sample points on the...
Junfei Dai, Wei Luo, Shing-Tung Yau, Xianfeng Gu
153
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WISEC
2009
ACM
15 years 12 months ago
Towards a theory for securing time synchronization in wireless sensor networks
Time synchronization in highly distributed wireless systems like sensor and ad hoc networks is extremely important in order to maintain a consistent notion of time throughout the ...
Murtuza Jadliwala, Qi Duan, Shambhu J. Upadhyaya, ...