SurpriseModel.C File Reference

#include "Surprise/SurpriseModel.H"
#include "Util/Assert.H"
#include "Util/log.H"

Include dependency graph for SurpriseModel.C:

Go to the source code of this file.

Defines
#define	COMBINE_FROM(models, weights)
#define	COMBINE_FROM_WMIN(models, weights, pos, width, height, offset)
#define	COMBINE_INIT   itsMean = 0.0; itsVar = 0.0;
#define	COMBINE_TYPE   SurpriseModelSG
#define	COMBINE_UPDATE
#define	COMBINE_FINISH
#define	COMBINE_INIT   itsAlpha = 0.0; itsBeta = 0.0;
#define	COMBINE_TYPE   SurpriseModelSP
#define	COMBINE_UPDATE
#define	COMBINE_FINISH
#define	COMBINE_INIT   itsAlpha = 0.0; itsBeta = 0.0;
#define	COMBINE_TYPE   SurpriseModelSP1
#define	COMBINE_UPDATE
#define	COMBINE_FINISH
#define	COMBINE_INIT   itsAlpha = 0.0; itsBeta = 0.0;
#define	COMBINE_TYPE   SurpriseModelSPC
#define	COMBINE_UPDATE
#define	COMBINE_FINISH
#define	COMBINE_INIT   itsAlpha = 0.0; itsBeta = 0.0;
#define	COMBINE_TYPE   SurpriseModelSPF
#define	COMBINE_UPDATE
#define	COMBINE_FINISH
#define	COMBINE_INIT   itsAlpha = 0.0; itsBeta = 0.0;
#define	COMBINE_TYPE   SurpriseModelCS
#define	COMBINE_UPDATE   itsAlpha += weight * m->itsAlpha/m->itsBeta;
#define	COMBINE_FINISH
#define	COMBINE_INIT   itsMean = 0.0; itsVar = 0.0;
#define	COMBINE_TYPE   SurpriseModelGG
#define	COMBINE_UPDATE
#define	COMBINE_FINISH

---

Detailed Description

a local (single-point) model of surprise

Definition in file SurpriseModel.C.

---

Define Documentation

#define COMBINE_FINISH

Value:

itsSum       = itsMean;                         \
  itsSS        = itsVar;                          \
  itsWeightSum = wsum;                            \
  itsMean /= wsum; itsVar /= wsum;                \
  itsVar -= itsMean * itsMean;                    \
  itsCombineFromRun = true;

Definition at line 1107 of file SurpriseModel.C.

#define COMBINE_FINISH

Value:

wsum      = 1/wsum;                             \
  itsAlpha *= itsBeta * wsum;

Definition at line 1107 of file SurpriseModel.C.

#define COMBINE_FINISH

Value:

wsum      = 1/wsum;                             \
  itsBeta  *= wsum;                               \
  itsAlpha *= itsBeta * wsum;

Definition at line 1107 of file SurpriseModel.C.

#define COMBINE_FINISH

Value:

wsum      = 1/wsum;                             \
  itsBeta  *= wsum;                               \
  itsAlpha *= itsBeta * wsum;

Definition at line 1107 of file SurpriseModel.C.

#define COMBINE_FINISH

Value:

wsum      = 1/wsum;                             \
  itsBeta  *= wsum;                               \
  itsAlpha *= itsBeta * wsum;

Definition at line 1107 of file SurpriseModel.C.

#define COMBINE_FINISH

Value:

wsum      = 1/wsum;                             \
  itsBeta  *= wsum;                               \
  itsAlpha *= itsBeta * wsum;

Definition at line 1107 of file SurpriseModel.C.

#define COMBINE_FINISH

Value:

itsMean /= wsum; itsVar /= wsum;                    \
  itsVar -= itsMean * itsMean;

Definition at line 1107 of file SurpriseModel.C.

#define COMBINE_FROM	(	models,
		weights		)

Value:

ASSERT(models.isSameSize(weights));                         \
  COMBINE_INIT                                                \
  Image<COMBINE_TYPE>::const_iterator m = models.begin(),     \
    stop = models.end();                                      \
  Image<float>::const_iterator w = weights.begin();           \
  double wsum = 0.0;                                          \
  while(m != stop)                                            \
    {                                                         \
      const double weight = double(*w++);                     \
      COMBINE_UPDATE                                          \
      wsum += weight;                                         \
      ++m;                                                    \
    }                                                         \
  COMBINE_FINISH

Definition at line 97 of file SurpriseModel.C.

#define COMBINE_FROM_WMIN	(	models,
		weights,
		pos,
		width,
		height,
		offset		)

Value:

COMBINE_INIT                                                \
  Image<COMBINE_TYPE>::const_iterator m = models.begin();     \
  Image<float>::const_iterator w = weights.begin();           \
  w += offset - pos.i;                                        \
  double wsum = 0.0F;                                         \
  for (int j = 0; j < height; j ++)                           \
    {                                                         \
      for (int i = 0; i < width; i ++)                        \
        {                                                     \
          const double weight = *w++;                         \
          COMBINE_UPDATE                                      \
          wsum += weight;                                     \
          ++m;                                                \
        }                                                     \
      w += width + 1;                                         \
    }                                                         \
  COMBINE_FINISH

Definition at line 142 of file SurpriseModel.C.

#define COMBINE_UPDATE

Value:

const double expVal = m->itsAlpha / m->itsBeta; \
  itsMean += weight * expVal;                     \
  itsVar  += weight * expVal * expVal;

Definition at line 1103 of file SurpriseModel.C.

#define COMBINE_UPDATE

Value:

itsAlpha += weight * m->itsAlpha;               \
  itsBeta  += weight * m->itsBeta;

Definition at line 1103 of file SurpriseModel.C.

#define COMBINE_UPDATE

Value:

itsAlpha += weight * m->itsAlpha;               \
  itsBeta  += weight * m->itsBeta;

Definition at line 1103 of file SurpriseModel.C.

#define COMBINE_UPDATE

Value:

itsAlpha += weight * m->itsAlpha;               \
  itsBeta  += weight * m->itsBeta;

Definition at line 1103 of file SurpriseModel.C.

#define COMBINE_UPDATE

Value:

itsAlpha += weight * m->itsAlpha;               \
  itsBeta  += weight * m->itsBeta;

Definition at line 1103 of file SurpriseModel.C.

#define COMBINE_UPDATE

Value:

const double mmean = m->itsMean;                    \
  itsMean += weight * mmean;                          \
  itsVar += weight * (m->itsVar + mmean * mmean);

Definition at line 1103 of file SurpriseModel.C.