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118
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EMMCVPR
1999
Springer
15 years 6 months ago
On Fitting Mixture Models
Consider the problem of tting a nite Gaussian mixture, with an unknown number of components, to observed data. This paper proposes a new minimum description length (MDL) type crite...
Mário A. T. Figueiredo, José M. N. L...
123
Voted
BICOB
2009
Springer
15 years 6 months ago
Constrained Fisher Scores Derived from Interaction Profile Hidden Markov Models Improve Protein to Protein Interaction Predictio
Protein-protein interaction plays critical roles in cellular functions. In this work, we propose a computational method to predict protein-protein interaction by using support vec...
Alvaro J. González, Li Liao
116
Voted
BMVC
1998
15 years 4 months ago
Learning Enhanced 3D Models for Vehicle Tracking
This paper presents an enhanced hypothesis verification strategy for 3D object recognition. A new learning methodology is presented which integrates the traditional dichotomic obj...
James M. Ferryman, Anthony D. Worrall, Stephen J. ...
125
Voted
CGA
2008
15 years 2 months ago
Legible Simplification of Textured Urban Models
Mesh simplification and discrete levels of detail (LOD) are wellstudied areas of research in computer graphics. However, until recently, most of the developed algorithms have focu...
Remco Chang, Thomas Butkiewicz, Caroline Ziemkiewi...
152
Voted
ECUMN
2004
Springer
15 years 6 months ago
Multi-time-Scale Traffic Modeling Using Markovian and L-Systems Models
Traffic engineering of IP networks requires the characterization and modeling of network traffic on multiple time scales due to the existence of several statistical properties that...
Paulo Salvador, António Nogueira, Rui Valad...