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PAMI
2008
140views more  PAMI 2008»
13 years 8 months ago
Simplifying Mixture Models Using the Unscented Transform
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfus...
RTCSA
1997
IEEE
14 years 24 days ago
Behavior verification of hybrid real-time requirements by qualitative formalism
Although modern control theories have been successfully applied to solve a variety of problems, they are often mathematically and physically too specific to describe and analyze t...
Jang-Soo Lee, Sung Deok Cha
ASPDAC
2005
ACM
110views Hardware» more  ASPDAC 2005»
13 years 10 months ago
Compact and stable modeling of partial inductance and reluctance matrices
Abstract— The sparsification of the reluctance matrix L−1 (where L denotes the usual inductance matrix L) has been widely used in several recent investigations to make the pro...
Hong Li, Venkataramanan Balakrishnan, Cheng-Kok Ko...
HEURISTICS
2010
13 years 6 months ago
A metaheuristic approach to the urban transit routing problem
The urban transit routing problem (UTRP) is NP-Hard and involves devising routes for public transport systems. It is a highly complex multiply constrained problem and the evaluati...
Lang Fan, Christine L. Mumford
TSP
2010
13 years 3 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic