Uses of Class
edu.gsu.cs.dmlab.exceptions.VectorDimensionMismatch

Packages that use VectorDimensionMismatch

Package	Description
edu.gsu.cs.dmlab.imageproc
edu.gsu.cs.dmlab.imageproc.interfaces
edu.gsu.cs.dmlab.sparse.approximation
edu.gsu.cs.dmlab.sparse.approximation.interfaces
edu.gsu.cs.dmlab.sparse.dictionary
edu.gsu.cs.dmlab.sparse.dictionary.interfaces

Uses of VectorDimensionMismatch in edu.gsu.cs.dmlab.imageproc

Methods in edu.gsu.cs.dmlab.imageproc that throw VectorDimensionMismatch

Modifier and Type	Method	Description
smile.math.matrix.SparseMatrix[]	ImgSparseMaxPoolPyramidProducer.getPooledCoefficients(smile.math.matrix.DenseMatrix vectorizedImg)

Uses of VectorDimensionMismatch in edu.gsu.cs.dmlab.imageproc.interfaces

Methods in edu.gsu.cs.dmlab.imageproc.interfaces that throw VectorDimensionMismatch

Modifier and Type	Method	Description
smile.math.matrix.SparseMatrix[]	IPooledCoefProducer.getPooledCoefficients(smile.math.matrix.DenseMatrix vectorizedImg)	Calculates the coefficients on the vectorized image and the pools them.

Uses of VectorDimensionMismatch in edu.gsu.cs.dmlab.sparse.approximation

Methods in edu.gsu.cs.dmlab.sparse.approximation that throw VectorDimensionMismatch

Modifier and Type	Method	Description
void	LARS_LassoCoeffVectorApproximator.solve(double[] b, smile.math.matrix.DenseMatrix A, double[] x)	Computes a sparse vector x, such that b = Ax using the LARS algorithm.
void	LARS_LassoCoeffVectorApproximator.solve(double[] b, smile.math.matrix.DenseMatrix A, smile.math.matrix.DenseMatrix AtA, double[] x)	Computes a sparse vector x, such that b = Ax using the LARS algorithm.

Uses of VectorDimensionMismatch in edu.gsu.cs.dmlab.sparse.approximation.interfaces

Methods in edu.gsu.cs.dmlab.sparse.approximation.interfaces that throw VectorDimensionMismatch

Modifier and Type	Method	Description
smile.math.matrix.SparseMatrix	ISparseMatrixApproximator.estimateCoeffs(smile.math.matrix.DenseMatrix signal, smile.math.matrix.DenseMatrix D)	Estimates the sparse coefficients of the input signal given the dictionary.
void	ISparseVectorApproximator.solve(double[] b, smile.math.matrix.DenseMatrix A, double[] x)	Computes x, such that b = Ax using some method.
void	ISparseVectorApproximator.solve(double[] b, smile.math.matrix.DenseMatrix A, smile.math.matrix.DenseMatrix AtA, double[] x)	Computes x, such that b = Ax using some method.

Uses of VectorDimensionMismatch in edu.gsu.cs.dmlab.sparse.dictionary

Methods in edu.gsu.cs.dmlab.sparse.dictionary that throw VectorDimensionMismatch

Modifier and Type	Method	Description
smile.math.matrix.DenseMatrix	OnlineDictionaryLearner.train(List<double[]> inputSamples)
void	BlockCoordinateDescentDictionaryUpdater.updateDictionary(smile.math.matrix.DenseMatrix dictionary, smile.math.matrix.DenseMatrix auxMatrixU, smile.math.matrix.DenseMatrix auxMatrixV)

Uses of VectorDimensionMismatch in edu.gsu.cs.dmlab.sparse.dictionary.interfaces

Methods in edu.gsu.cs.dmlab.sparse.dictionary.interfaces that throw VectorDimensionMismatch

Modifier and Type	Method	Description
smile.math.matrix.DenseMatrix	ISparseDictionaryLearner.train(List<double[]> X)	Trains the sparse dictionary for the passed Data.
void	IDictionaryUpdater.updateDictionary(smile.math.matrix.DenseMatrix dictionary, smile.math.matrix.DenseMatrix auxMatrixU, smile.math.matrix.DenseMatrix auxMatrixV)	Does a dictionary update based on some algorithm utilizing the input matrices.