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scalismo/scalismo/scalismo.kernels

scalismo.kernels

package scalismo.kernels

Members list

Type members

Classlikes

abstract case class BSplineKernel[D](order: Int, scale: Int) extends PDKernel[D]

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object
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trait Serializable
trait Product
trait Equals
class PDKernel[D]
class Object
trait Matchable
class Any
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Known subtypes
object BSplineKernel

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class
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class Object
trait Matchable
class Any
Self type
class BSplineKernel3D(order: Int, scale: Int) extends BSplineKernel[_3D]

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trait Serializable
trait Product
trait Equals
class PDKernel[_3D]
class Object
trait Matchable
class Any
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trait CreateBSplineKernel[D]

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object
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class Object
trait Matchable
class Any
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object CreateBSplineKernel

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trait
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class Object
trait Matchable
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trait DiagonalKernel[D] extends MatrixValuedPDKernel[D]

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object
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class Object
trait Matchable
class Any
object DiagonalKernel

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class Object
trait Matchable
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object DiagonalKernel1D

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class Object
trait Matchable
class Any
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object DiagonalKernel2D

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class Object
trait Matchable
class Any
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object DiagonalKernel3D

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class Object
trait Matchable
class Any
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class DiscreteMatrixValuedPDKernel[D]

Discrete representation of a MatrixValuedPDKernel. Mathematically, it can be represented as a covariance matrix. However, it has more structure, i.e. its entry ij is a matrix. Furthermore, the class has the knowledge about its domain (the point on which it is defined).

Discrete representation of a MatrixValuedPDKernel. Mathematically, it can be represented as a covariance matrix. However, it has more structure, i.e. its entry ij is a matrix. Furthermore, the class has the knowledge about its domain (the point on which it is defined).

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object
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class Object
trait Matchable
class Any
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object DiscreteMatrixValuedPDKernel

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class Object
trait Matchable
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case class GaussianKernel[D](sigma: Double, scaleFactor: Double) extends PDKernel[D]

Defines a Gaussian kernel with standard deviation sigma. The scale factor determines the variance (the value of k(x,x)). A scale factor of s leads to the variance k(x,x) = s*s. When modelling functions, the scale factor can be interpreted as the amplitude of the function

Defines a Gaussian kernel with standard deviation sigma. The scale factor determines the variance (the value of k(x,x)). A scale factor of s leads to the variance k(x,x) = s*s. When modelling functions, the scale factor can be interpreted as the amplitude of the function

Attributes

Supertypes
trait Serializable
trait Product
trait Equals
class PDKernel[D]
class Object
trait Matchable
class Any
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object GaussianKernel1D

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class Object
trait Matchable
class Any
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object GaussianKernel2D

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class Object
trait Matchable
class Any
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object GaussianKernel3D

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class Object
trait Matchable
class Any
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object Kernel

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class Object
trait Matchable
class Any
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Kernel.type
abstract class MatrixValuedPDKernel[D]

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class Object
trait Matchable
class Any
Known subtypes
trait DiagonalKernel[D]
class MultiScaleKernel[D]
Self type
case class MultiScaleKernel[D](kernel: MatrixValuedPDKernel[D], min: Int, max: Int, scale: Int => Double)(implicit evidence$4: NDSpace[D]) extends MatrixValuedPDKernel[D]

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trait Serializable
trait Product
trait Equals
class Object
trait Matchable
class Any
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abstract class PDKernel[D]

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class Object
trait Matchable
class Any
Known subtypes
class BSplineKernel[D]
class GaussianKernel[D]
Self type
case class SampleCovarianceKernel[D](ts: IndexedSeq[Transformation[D]], cacheSizeHint: Int)(implicit evidence$1: NDSpace[D]) extends MatrixValuedPDKernel[D]

Attributes

Supertypes
trait Serializable
trait Product
trait Equals
class Object
trait Matchable
class Any
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