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» On Fitting Mixture Models
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ICCV
2001
IEEE
16 years 8 months ago
A Novel Modeling Algorithm for Shape Recovery of Unknown Topology
This paper presents a novel modeling algorithm that is capable of simultaneously recovering correct shape geometry as well as its unknown topology from arbitrarily complicated dat...
Ye Duan, Hong Qin
IPPS
2008
IEEE
16 years 1 months ago
Modeling and predicting application performance on parallel computers using HPC challenge benchmarks
A method is presented for modeling application performance on parallel computers in terms of the performance of microkernels from the HPC Challenge benchmarks. Specifically, the a...
Wayne Pfeiffer, Nicholas J. Wright
BMCBI
2008
136views more  BMCBI 2008»
15 years 6 months ago
Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models
Background: When predictive survival models are built from high-dimensional data, there are often additional covariates, such as clinical scores, that by all means have to be incl...
Harald Binder, Martin Schumacher
ATAL
2006
Springer
15 years 10 months ago
Efficient agent-based models for non-genomic evolution
Modeling dynamical systems composed of aggregations of primitive proteins is critical to the field of astrobiological science, which studies early evolutionary structures dealing ...
Nachi Gupta, Adrian K. Agogino, Kagan Tumer
CVPR
2006
IEEE
16 years 8 months ago
Training Deformable Models for Localization
We present a new method for training deformable models. Assume that we have training images where part locations have been labeled. Typically, one fits a model by maximizing the l...
Deva Ramanan, Cristian Sminchisescu