#include <dynamics_moves.h>
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| Focal_scale_dynamics (const kjb::Vector &ideltas, const kjb::Vector &ietas, double(*icompute_likelihood)(Parametric_parapiped &pp, Perspective_camera &c), void(*get_pp_and_camera)(Parametric_parapiped &pp, Perspective_camera &c), void(*log_results)(const Parametric_parapiped &pp, const Perspective_camera &c, double ll), double ialpha=0.99, unsigned int ikick=0) |
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void | run (unsigned int iterations) |
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| Likelihood_dynamics (double ialpha=0.99, unsigned int ikick=0) |
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| Likelihood_dynamics (kjb::Vector iparameters, kjb::Vector ideltas, kjb::Vector ietas, double ialpha=0.99, unsigned int ikick=0) |
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| Likelihood_dynamics (const Likelihood_dynamics &src) |
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Likelihood_dynamics & | operator= (const Likelihood_dynamics &src) |
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virtual | ~Likelihood_dynamics () |
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virtual void | set_index (unsigned int iindex) |
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virtual void | set_index (Int_vector iindex) |
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| Abstract_dynamics (double ialpha=0.99, unsigned int ikick=0) |
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| Abstract_dynamics (kjb::Vector iparameters, kjb::Vector ideltas, double ialpha=0.99, unsigned int ikick=0) |
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| Abstract_dynamics (const Abstract_dynamics &src) |
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Abstract_dynamics & | operator= (const Abstract_dynamics &src) |
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virtual | ~Abstract_dynamics () |
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void | set_num_parameters (unsigned int num_params) |
| Sets the number of parameters we will be sampling over. More...
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virtual void | compute_energy_gradient () |
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void | run (unsigned int iterations) |
| Implements stochastic dynamics sampling on a set of parameters. This implementation follows the algorithm described in the 1993 Neal Paper, with leapfrog discretization and stochastic transitions weighted by the stochastic alpha parameter. This function MUST be kept protected so that only classes that inherit from this class can use it. Each of this derived class will have to provide its own public interface to this method. More...
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kjb::Vector | etas |
| The size of the step to use when computing the gradient of the energy function, in a two point estimate fashion. This varies for each parameter we are sampling over. More...
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std::vector< boost::function1
< void, double > > | callbacks |
| We have a callback for each parameter we are sampling over. Each of them returns a void and accepts a double. Each callback should change the model according to the sampled parameter value. More...
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std::vector< boost::function0
< double > > | parameter_getters |
| We have a callback for each parameter we are sampling over. Each of them returns a double. Each callback should get the parameter value to initialize the sampling. More...
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kjb::Vector | parameters |
| The parameters to sample over. More...
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kjb::Vector | deltas |
| The size of the step to take in the gradient direction. This step size is different for each parameter we are sampling over. More...
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kjb::Vector | gradients |
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kjb::Vector | stochastic_momenta |
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kjb::Vector | momenta |
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kjb::Vector | temp_momenta |
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kjb::Vector | stochastic_transition |
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kjb::MV_gaussian_distribution * | mv_gauss |
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double | alpha |
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double | st_alpha |
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unsigned int | kick |
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kjb::Focal_scale_dynamics::Focal_scale_dynamics |
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const kjb::Vector & |
ideltas, |
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const kjb::Vector & |
ietas, |
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double(*)(Parametric_parapiped &pp, Perspective_camera &c) |
icompute_likelihood, |
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void(*)(Parametric_parapiped &pp, Perspective_camera &c) |
get_pp_and_camera, |
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void(*)(const Parametric_parapiped &pp, const Perspective_camera &c, double ll) |
log_results, |
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double |
ialpha = 0.99 , |
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unsigned int |
ikick = 0 |
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void kjb::Focal_scale_dynamics::run |
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unsigned int |
iterations | ) |
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virtual |
The documentation for this class was generated from the following files: