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Code covered by the
BSD License
Highlights from
Statistical Learning Toolbox
annsearch(X0, X, k, varargin)
ANNSEARCH Approximate Nearest Neighbor Search
edl_batchexp(expfun, scrpath,...
EDL_BATCHEXP Performs Batch experiments according to scheme
edl_buildiidxdict(S, idxfn)
EDL_BUILDIIDXDICT Builds a dictionary using internal index
edl_check_internalindices(pro...
EDL_CHECK_INTERNALINDICES Checks the consistency of internal indices
edl_go(expdef, type, name, fi...
EDL_GO The Top interface for doing experiments in EDL
edl_initctrlfile(filename, gu...
EDL_INITCTRLFILE Creates an initial control file
edl_logerror(caller, err, log...
EDL_LOGERROR Logs an error into logger
edl_readctrlfile(filename)
EDL_READCTRLFILE Reads in a control file
edl_readenvvars(envfile)
EDL_READENVVARS Reads in a file with environment variables
edl_readexpdefs(deffile)
EDL_READEXPDEFS Reads in experiment definition XML file
edl_readexpdefs(filename)
EDL_READEXPDEFS Reads in an experiment definition from XML file
edl_readprops(filename, nodet...
EDL_READPROPS Reads properties from a property table XML file
edl_readreport(filename)
EDL_READREPORT Reads in a EDL report
edl_readscript(filename)
EDL_READSCRIPT Reads in a EDL script
edl_updatectrlfile(guid, file...
EDL_UPDATECTRLFILE Updates the status in a control file
edl_writeprops(doctag, attrib...
EDL_WRITEPROPS Writes the property table to XML file
edl_writereport(filename, gui...
EDL_WRITEREPORT Writes an EDL report
edl_writescript(filename, gui...
EDL_WRITESCRIPT Writes an EDL script
install_cppcores()
mex ALL cpp cores in sltoolbox
install_paths()
THE SCRIPT to install the sltoolbox paths to matlab system
raise_lackinput(funcname, nmi...
RAISE_LACKINPUT Raises an error indicating lack of input argument
sl2dmatcov(type, data, matsiz...
SL2DMATCOV Computes the 2D matrix-covariances
sl2dpca_apply(Mm, PL, PR, dat...
SL2DPCA_APPLY Applies 2D PCA onto a set of matrices to extract features
sl2dpca_construct(Mm, PL, PR,...
SL2DPCA_CONSTRUCT Constructs the matrix from 2D feature
sl2dpcaex(data, matsiz, n, me...
SL2DPCAEX Learns Extended 2D PCA on a set of matrix samples
sladd(A0, As, d)
SLADD Add a sub-array along some dimensions to an array
sladdpath(filenames, dirpath)
SLADDPATH Adds dirpath to precede the filenames
sladdrowcols(X, vrow, vcol)
SLADDROWCOLS Adds the vectors to all rows and all columns
sladdvec(X, v, d)
SLADDVEC adds a vector to columns or rows of a matrix
sladjlist(G, uv)
SLADJLIST Construct the adjacency list representation of a graph
sladjlist2edgeset(targets, sc...
SLADJLIST2EDGESET Converts the adjacency list to edge set
sladjmat(G, varargin)
SLADJMAT Constructs the adjacency matrix representation of a graph
slaffinitymat(X, X2, nnparams...
SLAFFINITYMAT Constructs an affinity matrix
slallcombs(nums)
SLALLCOMBS Generate all combination of numbers
slallsubinds(arrsiz)
SLALLSUBINDS Generate all sub-indices for all elements of the array
slapplyfilterband(imgs, filte...
SLAPPLYFILTERBAND Applies filter band to filter images in batch
slapplypca(S, X)
SLAPPLYPCA Applies PCA model to samples
slarrmean(data, arrsiz, n, va...
SLARRMEAN Computes the mean of a set of arrays
slbenchmark_batchfilter(imgsi...
SLBENCHMARK_BATCHFILTER Compares the efficiency of batch filter
slcalcpadsize(varargin)
SLCALCPADSIZE Calculates the size of padding
slcartprod(varargin)
SLCARTPROD Get the Cartesian product of a series of sets
slcenkernel(K0, K, w)
SLCENKERNEL Compute the centralized kernel matrix
slchangefilepart(fp, varargin...
SLCHANGEFILEPART Changes some parts of the file path
slclassify(scores, clabels, o...
SLCLASSIFY Classifies a set of samples according to final scores
slclassify_blks(scores, n, bl...
SLCLASSIFY_BLKS Classifies samples according to blockwise scores
slclassify_eucnn(centers, sam...
SLCLASSIFY_EUCNN Classifies samples using Euclidena-based NN
slcmds(D, d, w, ty)
SLMDS Performs Classical Multidimensional scaling
slcompresstext(T, varargin)
SLCOMPRESSTEXT Compresses a cell array of text
slconfine(A, lb, ub)
SLCONFINE Confines the values in a range
slcopca(X1, X2, d, varargin)
SLCOPCA Performs Coupled PCA Learning
slcorrectrate(scores, clabels...
SLCORRECTRATE Computes the correct rate of classification
slcorrectrate_blks(scores, bl...
SLCORRECTRATE_BLKS Computes the correct rate based on blockwise scores
slcount(A)
SLCOUNT Count the number of sum entities
slcountlines(folderpath, fnre...
SLCOUNTLINES Count the lines of m-files in a folder and make a report
slcountvote(m, n, V, w, count...
SLCOUNTRULE Counts the votings to make histogram
slcov(X, w, vmean, hasbeenche...
SLCOV Compute the covariance matrix
slcovlarge(X, w, vmean, cache...
SLCOVLARGE Computes large covariance matrix using memory-efficient way
slcovpca(vmean, C, preserve)
SLCOVPCA Trains a PCA with the covariance matrix given
slcovs(X, w, nums, M)
SLCOVS Computes the sample covariance matrix
slcumuscore(scores, clabels, ...
SLCUMUSCORE Computes the cumulative score on multi-class classification
sldet2x2(Ms)
SLDET2X2 Computes the determinant of 2 x 2 matrices in a fast way
sldiff_pw(X1, X2, type)
SLDIFF_PW Measures the pair-wise difference
sldim_by_eigval(eigvals, sch,...
SLDIM_BY_EIGVAL Determines the dimension of principal subspace by eigenvalues
sldiscrep(X1, X2, measure, r1...
SLDISCREP Evaluates the discrepancy of two arrays
sldistmean(X1, X2, varargin)
SLDISTMEAN Uses fast method to compute means of pairwise distances
sldists2kernels(D, ty)
SLDISTS2KERNELS Computes the inner products from distances
sldlda(X, nums, varargin)
SLDLDA Performs Direct Linear Discriminant Analysis
sldrawellipse(center, shape, ...
SLDRAWELLIPSE Draws an ellipse on current axis
sldrawgraph(G, X, Xt, ppedges...
SLDRAWGRAPH Draws a graph
sldrawlabeledpts(X, labels, l...
SLDRAWLABELEDPTS Draws Labeled 2D or 3D points
sldrawmanipts(X, s, crspec)
SLDRAWMANIPTS Draws the sample points on a manifold
sldrawmultiellipse(centers, v...
SLDRAWMULTIELLIPSE Draws multiple ellipses on axies
sldrawpts(X, varargin)
SLDRAWPTS Draws a set of sample points on axes
sledges2adjmat(n, nt, edges, ...
SLEDGES2ADJMAT Creates an adjacency matrix from edge set
sledgeset(G, uv)
SLEDGESET Construct the edge set representation of a graph
sledgeset2adjlist(n, edges, s...
SLEDGESET2ADJLIST Converts edge set to adjacency list
slenforce(A, varargin)
SLENFORCE Enforce some property on the array A
slequalpar2D(siz, maxblk)
SLEQUALPAR Partition a 2D array with balances for width and height
slevalfunctor(functor, vararg...
SLEVALFUNCTOR Evaluates a functor
slexpand(nums, U)
SLEXPAND Expand a set to multiple instance
slfilepart(fp, partname)
SLFILEPARTS Extracts a specified part of a file path string
slfiltersize(fs0)
SLFILTERSIZE Extracts information from filtersize
slfiltertext(T, f, varargin)
SLFILTERTEXT Processes the lines of text
slfindnn(X0, X, method, varar...
SLFINDNN Finds the nearest neighbors using specified strategy
slfld(X, nums, varargin)
SLFLD Performs Fisher Linear Discriminant Analysis
slfmm(X, n, estfunctor, evalf...
SLFMM Learns a Finite Mixture Model (FMM)
slgaborbands(w, scales, orien...
SLGABORBANDS Generates a set of Gabor kernels
slgausscomb(varargin)
SLGAUSSCOMB Collects the means and variances/covariances to form GS
slgaussest(X, varargin)
SLGAUSSEST Estimates the Gaussian models from samples
slgaussinv(GS, fn, invparams)
SLGAUSSINV Computes the inverse of variance/covariance in Gaussian model
slgaussmdist(GS, X)
SLGAUSSMDIST Computes the Malanobis distance between samples and centers
slgausspdf(GS, X, varargin)
SLGAUSSPDF Computes the probability density of Gaussian models
slgaussrnd(GS, nums)
SLGAUSSRND Generates random samples from Gaussian models
slgausstype(GS)
SLGAUSSTYPE Judges the type of a Gaussian model struct
slgbfe(X, G, Gc, dy, fm, vara...
SLGBFE Performs Graph-based Feature Extraction Learning
slgda(K, nums, sol)
SLGDA Performs Baudat's Generalized Discriminant Analysis
slgembed(G, Gc, d, fm, vararg...
SLGEMBED Solves the general graph-based embedding
slgetinterpkernel(kername)
SLGETINTERPKERNEL Gets the interpolation kernel function
slgetroc(thrs, fars, frrs, it...
SLGETROC Computes some point from ROC Curve
slgmm(X, varargin)
SLGMM Learns Gaussian Mixture model from samples
slgraphinfo(G, conds)
SLGRAPHINFO Extracts basic information of a given graph representation
slgridsamples(varargin)
SLGRIDSAMPLES Generate the sample vectors on grid points
slguid()
SLGUID Generates a GUID (Global Unique Identifier)
slguidstr(gid)
SLGUIDSTR Converts a guid to a string
slhistmetric_cp(H1, H2, mtype...
SLHISTMETRIC_CP Computes the metrics between corresponding pairs of histograms
slhistmetric_pw(H1, H2, mtype...
SLHISTMETRIC_PW Computes distance metrics between histograms pairwisely
slhistroc(hist_a, hist_r, sep...
SLHISTROC Computes the ROC curve from value histogram
slignorevars(varargin)
SLIGNOREVARS Ignores the input variables
slimg2mat(img)
SLIMG2MAT Converts an image array to a double matrix
slimginterp(A, I, J, interpke...
SLIMGINTERP Performs image based interpolation
slimgsetprep(srcfolder, dstpa...
SLIMGSETPREP organizes the images in a MATLAB friendly way
slinitarray(type, size)
SLINITARRAY Initialize an array of specified type and size
slinv2x2(Ms)
SLINV2X2 Computes inverse matrices for 2 x 2 matrices in a fast way
slinvcov(C, method, r)
SLINVCOV Compute the inverse of an covariance matrix
slinvevals(evals, method, r)
SLINVEVALS Compute the reciprocals of eigenvalues in a robust way
slinvoke(invoke_descr, vararg...
SLINVOKE Invokes a function
slisabspath(pstr)
SLISABSPATH Judges whether the path string is a absolute path
slisfields(S, fns)
SLISFIELDS Judges whether the specified fieldnames are fields of S
slisguid(v)
SLISGUID Judges whether the input can represent a GUID
slisomap(G, d)
SLISOMAP Performs ISOMAP manifold embedding
sliterproc(objects, iterfunct...
SLITERPROC Runs a general iterative process
slkernel(varargin)
SLKERNEL Computes the kernel for samples
slkernelembed(K, d, w)
SLKERNELEMBED Finds an embedding space to preserve inner products
slkernelfea(X, X0, kparams, v...
SLKERNELFEA Extracts kernelized mapped features
slkernels2dists(K, ty)
SLKERNELS2DISTS Computes Euclidean distances from inner products
slkernelscatter(K, type, vara...
SLKERNELSCATTER Compute the kernelized scatter matrix
slkfd(K, nums, varargin)
SLKFD Perform Kernelized Fisher Discriminant Analysis
slkmeans(X, varargin)
SLKMEANS Performs K-Means Clustering on samples
slkmeansex(X, n, estfunctor, ...
SLKMEANSEX Performs Generalized K-means
slkpca(K0, varargin)
SLPCA Learns a Kernel PCA model from training samples
sllabeledsum(X, labels, label...
SLLABELEDSUM Sums the numbers according to labels
sllabelinds(labels, labelset)
SLLABELINDS Extract indices corresponding to specified labels
sllda(X, nums, method, vararg...
SLLDA Trains a Linear Discriminant Model using specified method
sllemap(G, d, sch)
SLLEMAP Solves Laplacian Eigenmap Embedding
sllinreg(X, Y, varargin)
SLLINREG Performs Multivariate Linear Regression and Ridge Regression
sllinrega(X, Y, varargin)
SLLINREGA Performs Augmented Multivariate Linear Regression
sllle(X, G, d, rwparams)
SLLLE Performs Locally Linear Embedding
sllle_wg(G, d)
SLLLE_WG Solves the Locally Linear Embedding from weight graph
sllocalcoordalign(GM, LC, dg)
SLLOCALCOORDALIGN Performs optimal local coordinate alignment
sllocaltancoords(LM, LP, X, G...
SLLOCALTANCOORDS Computes the local tangent coordinates
sllocaltanspace(X0, G, dl)
SLLOCALTANSPACE Solves the local tangent spaces
sllogdet(A)
SLLOGDET Computes the logarithm of determinant of a matrix in a robust way
sllogistreg(X, nums, varargin)
SLLOGISTREG Performs Multivariate Logistic Regression
slltsa(X, G, dl, dg)
SLLTSA Performs Local Tangent Space Alignment Learning
slmakeadjmat(n, nt, edges, va...
SLMAKEADJMAT Makes an adjacency matrix using edges and corresponing values
slmax(A, d)
SLMAX Compute the maximum of values in subarrays
slmean(M, w, hasbeenchecked)
SLMEAN Compute the mean vector of samples
slmeans(X, w, nums)
SLMEANS Compute the mean vectors
slmetric_cp(X1, X2, mtype, va...
SLMETRIC_CP Computes the metrics between corresponding pairs of samples
slmetric_pw(X1, X2, mtype, va...
SLMETRIC_PW Compute the metric between column vectors pairwisely
slmetric_pw_blks(X1, X2, ps, ...
SLMETRIC_PW_BLKS Compute the pairwise metrics in a blockwise manner
slmin(A, d)
SLMIN Compute the minimum of values in subarrays
slmkdir(dirname, parentpath)
SLMKDIR Makes a directory if it does not exist
slmul(A0, As, d)
SLMUL Multiply a sub-array along some dimensions to an array
slmulrowcols(X, vrow, vcol)
SLMULROWCOLS Multiplies the vectors to all rows and all columns
slmulvec(X, v, d)
SLMULVEC multiplies a vector to columns or rows of a matrix
slnbreconweights(X0, X, G, va...
SLNBRECONWEIGHTS Solve the optimal reconstruction weights on given neighbors
slnlda(X, nums, varargin)
SLNLDA Performs Nullspace-based Linear Discriminant Analysis
slnngraph(X, X2, nnparams, va...
SLNNGRAPH Constructs a nearest neighborhood based graph
slnorm(A, p, d)
SLNORM Compute the Lp-norms
slnormalize(A, p, d)
SLNORMALIZE Normalize the sub-arrays
slnullspace(tar, varargin)
SLRANGESPACE Determines the null-space of the range of X
slnums2bounds(nums)
SLNUMS2BOUNDS Compute the index-boundaries from section sizes
slpadimg(img, padsize, vararg...
SLPADIMG Pads an image with boundary
slparblocks(ps)
SLPARBLOCKS Gets the blocks from partition structure
slparse_assignment(str)
SLPARSE_ASSIGNMENT Parses an assignment string
slparseprops(P0, varargin)
SLPARSEPROPS Parses input parameters
slpartition(whole_size, spec_...
SLPARTITION Partition a range into blocks in a specified manner
slpartitionpca(data, arrsiz, ...
SLPARTITIONPCA Performs Partition-based PCA and saves the models
slpartitionpca_apply(S, model...
SLPARTITIONPCA_APPLY applies partition-based PCA to a set of arrays
slpartitionpca_construct(S, m...
SLPARTITIONPCA_CONSTRUCT Constructs the array from features
slpca(X, varargin)
SLPCA Learns a PCA model from training samples
slpcarecon(S, Y)
SLPCARECON Reconstructs the samples in original space
slpcareduce(S, cri, varargin)
SLPCAREDUCE Reduces a PCA model to lower dimension
slpixlinnorm(imgs, mu, sigma)
SLPIXLINNORM Performs linear normalization on pixel values
slpixneighbors(img, filtersiz...
SLPIXNEIGHBORS Extracts the neighborhood of pixels from an image
slpoolcov(Cs, w)
SLPOOLCOV Compute the pooled covariance
slposteriori(condprops, prior...
SLPOSTERIORI Computes the posterioris
slposterioritrue(condprops, n...
SLPOSTERIORITRUE Computes the posteriori that samples belong to true class
slproglearn(source, getter, l...
SLPROGLEARN Performs Progressive Learning from sample source
slpruneedgeset(n, nt, edges, ...
SLPRUNEEDGESET Prunes the edge set
slpwcalc(v1, v2, op)
SLPWCALC Calculates a table pairwisely on two set of scalars
slpwcomp_blks(X1, X2, ps, dst...
SLPWCOMP_BLKS Computes pairwise value matrix
slpweval(X1, X2, f, varargin)
SLPWEVAL Perform pairwise computation
slpwgraph(Xs, Xt, n, nt, eval...
SLVALGRAPH Constructs a graph by computing values between nodes pairwisely
slpwmetricgraph(X, varargin)
SLPWMETRICGRAPH Constructs a graph based on pairwise metrics
slpwscatter(tar, W)
SLPWSCATTER Compute the pairwise scatter matrix
slrange2indcells(range)
SLRANGE2INDCELLS Converts a range array to indices cell array
slrangespace(tar, varargin)
SLRANGESPACE Determines the subspace of the range of X
slreadarray(filename)
SLREADARRAY Reads an array from an array file
slreadtext(filename)
SLREADTEXT Reads in a text file into a cell array
slreevallearn(models, Q, data...
SLREEVALLEARN Performs an iterative learning based on re-evaluation
slregcov(Cs, varargin)
SLREGCOV Regularizes covariance matrices
slresizeimg(imgs, newsiz, int...
SLRESIZEIMG Resizes the images by interpolation
slrmdir(dirname, parentpath)
SLMKDIR Makes a directory if it does not exist
slroc(scores, signs, thres, o...
SLROC Computes the ROC
slrotmat(theta)
SLROTMAT Get the 2x2 rotation matrix
slscatter(X, type, varargin)
SLSCATTER Compute the scatter matrix
slsharedisp(varargin)
SLSHAREDISP Displays message using a shared configuration
slsharedisp_attach(name, vara...
SLSHAREDISP_ATTACH Attachs to global display options
slsharedisp_decindent(nsteps)
SLSHAREDISP_DECINDENT Decreases the indent of the displayer
slsharedisp_detach()
SLSHAREDISP_DETACH Detachs current function from global display
slsharedisp_incindent(nsteps)
SLSHAREDISP_INCINDENT Increases the indent of the displayer
slsharedisp_reset()
SLSHAREDISP_RESET Resets the global display options
slsharedisp_word(varargin)
SLSHAREDISP_WORD Displays message without line breaking
slshowtext(T)
SLSHOWTEXT Displays the text
slstrsplit(srcstr, delimiters...
SLSTRSPLIT splits a string into cell array of strings by delimiters
slstructsize(S, fields, types...
SLSTRUCTSIZE Compute the size of a struct
slsum(A, d)
SLSUM Compute the sum of values in subarrays
slsumstat_blks(data, statfunc...
SLSUMSTAT_BLKS Sums up statistics on all blocks for partitioned data
slsymeig(A, k, ord)
SLSYMEIG Compute the eigenvalues and eigenvectors for symmetric matrix
slsymgeig(A, B, method, r)
SLSYMGEIG Solve the generalized eigen decomposition for symmetric matrices
slsymgraph(A, symmethod)
SLSYMGRAPH Forces symmetry of the adjacency matrix of a graph
sltakeval(A)
SLTAKEVAL Extracts the values in an array/cell array to output
sltensor_dot(T1, T2)
SLTENSOR_DOT Computes the dot product between two tensors
sltensor_fold(M, dims, k)
SLTENSOR_FOLD Folds a matrix into a tensor
sltensor_multiply(T, varargin...
SLTENSOR_MULTIPLY Multiplies a tensor and a matrix
sltensor_norm(T)
SLTENSOR_NORM Computes the Frobenius norm of a tensor T
sltensor_svd(T, n)
SLTENSOR_SVD Performs a Higher-Order SVD on a Tensor
sltensor_unfold(T, k)
SLTENSOR_UNFOLD Unfolds a tensor to a matrix
sltrace2x2(Ms)
SLTRACE2X2 Computes the trace of 2 x 2 matrices in a fast way
sltypesize(typename)
SLTYPESIZE Gets the element size of a specified type
slvecfilters(fb)
SLVECFILTERS Vectorizes the filter band
slvechist(X0, X, varargin)
SLVECHIST Makes the histogram on prototype vectors by voting
slverifyroc(scores, labels1, ...
SLVERIFYROC Computes the verification ROC
slverifyroc_blks(scores, bloc...
SLVERIFYROC_BLKS Computes the verification ROC for blockwise score matrix
slverifyroc_par()
slvote(models, m, samples, n,...
SLVOTE Builds histogram by voting (or fuzzy voting)
slwhiten_from_cov(C, method, ...
SLWHITEN_FROM_COV Compute the whitening transform from covariance matrix
slwhiten_from_samples(X, vara...
SLWHITEN_FROM_SAMPLES Compute the whitening matrix from sample matrix
slwritearray(A, filename)
SLWRITEARRAY Writes an array to an array file
slwritetext(T, filename)
SLWRITETEXT Writes a text to file
xml_addattribs(xelem, varargi...
XML_ADDATTRIBS Adds attributes to an element
xml_getattribs(xelem, varargi...
XML_GETATTRIBS Constructs an attribte struct from an XML element
dataset(varargin)
DATASET Constructs a dataset object (conform to DSDML)
sllog(varargin)
SLLOG Constructs a logger
Description of addfiles
Description of annsearch
Description of close
Description of construct_data...
Description of dataset
Description of decindent
Description of detachfiles
Description of disp
Description of display
Description of edl_batchexp
Description of edl_buildiidxd...
Description of edl_check_inte...
Description of edl_go
Description of edl_initctrlfi...
Description of edl_logerror
Description of edl_readctrlfi...
Description of edl_readenvvars
Description of edl_readexpdefs
Description of edl_readexpdef...
Description of edl_readprops
Description of edl_readreport
Description of edl_readscript
Description of edl_updatectrl...
Description of edl_writeprops
Description of edl_writereport
Description of edl_writescript
Description of get
Description of get
Description of incindent
Description of install_cppcor...
Description of install_paths
Description of isactive
Description of isattached
Description of raise_lackinput
Description of readfile
Description of setactive
Description of sl2dmatcov
Description of sl2dpca_apply
Description of sl2dpca_constr...
Description of sl2dpcaex
Description of sladd
Description of sladdpath
Description of sladdrowcols
Description of sladdvec
Description of sladjlist
Description of sladjlist2edge...
Description of sladjmat
Description of slaffinitymat
Description of slallcombs
Description of slallsubinds
Description of slapplyfilterb...
Description of slapplypca
Description of slarrmean
Description of slbenchmark_ba...
Description of slcalcpadsize
Description of slcartprod
Description of slcenkernel
Description of slchangefilepa...
Description of slclassify
Description of slclassify_blks
Description of slclassify_euc...
Description of slcmds
Description of slcompresstext
Description of slconfine
Description of slcopca
Description of slcorrectrate
Description of slcorrectrate_...
Description of slcount
Description of slcountlines
Description of slcountvote
Description of slcov
Description of slcovlarge
Description of slcovpca
Description of slcovs
Description of slcumuscore
Description of sldet2x2
Description of sldiff_pw
Description of sldim_by_eigval
Description of sldiscrep
Description of sldistmean
Description of sldists2kernels
Description of sldlda
Description of sldrawellipse
Description of sldrawgraph
Description of sldrawlabeledp...
Description of sldrawmanipts
Description of sldrawmultiell...
Description of sldrawpts
Description of sledges2adjmat
Description of sledgeset
Description of sledgeset2adjl...
Description of slenforce
Description of slequalpar2D
Description of slevalfunctor
Description of slexpand
Description of slfilepart
Description of slfiltersize
Description of slfiltertext
Description of slfindnn
Description of slfld
Description of slfmm
Description of slgaborbands
Description of slgausscomb
Description of slgaussest
Description of slgaussinv
Description of slgaussmdist
Description of slgausspdf
Description of slgaussrnd
Description of slgausstype
Description of slgbfe
Description of slgda
Description of slgembed
Description of slgetinterpker...
Description of slgetroc
Description of slgmm
Description of slgraphinfo
Description of slgridsamples
Description of slguid
Description of slguidstr
Description of slhistmetric_cp
Description of slhistmetric_pw
Description of slhistroc
Description of slignorevars
Description of slimg2mat
Description of slimginterp
Description of slimgsetprep
Description of slinitarray
Description of slinv2x2
Description of slinvcov
Description of slinvevals
Description of slinvoke
Description of slisabspath
Description of slisfields
Description of slisguid
Description of slisomap
Description of sliterproc
Description of slkernel
Description of slkernelembed
Description of slkernelfea
Description of slkernels2dists
Description of slkernelscatter
Description of slkfd
Description of slkmeans
Description of slkmeansex
Description of slkpca
Description of sllabeledsum
Description of sllabelinds
Description of sllda
Description of sllemap
Description of sllinreg
Description of sllinrega
Description of sllle
Description of sllle_wg
Description of sllocalcoordal...
Description of sllocaltancoor...
Description of sllocaltanspace
Description of sllog
Description of sllogdet
Description of sllogistreg
Description of slltsa
Description of slmakeadjmat
Description of slmax
Description of slmean
Description of slmeans
Description of slmetric_cp
Description of slmetric_pw
Description of slmetric_pw_bl...
Description of slmin
Description of slmkdir
Description of slmul
Description of slmulrowcols
Description of slmulvec
Description of slnbreconweigh...
Description of slnlda
Description of slnngraph
Description of slnorm
Description of slnormalize
Description of slnullspace
Description of slnums2bounds
Description of slpadimg
Description of slparblocks
Description of slparse_assign...
Description of slparseprops
Description of slpartition
Description of slpartitionpca
Description of slpartitionpca...
Description of slpartitionpca...
Description of slpca
Description of slpcarecon
Description of slpcareduce
Description of slpixlinnorm
Description of slpixneighbors
Description of slpoolcov
Description of slposteriori
Description of slposterioritr...
Description of slproglearn
Description of slpruneedgeset
Description of slpwcalc
Description of slpwcomp_blks
Description of slpweval
Description of slpwgraph
Description of slpwmetricgraph
Description of slpwscatter
Description of slrange2indcel...
Description of slrangespace
Description of slreadarray
Description of slreadtext
Description of slreevallearn
Description of slregcov
Description of slresizeimg
Description of slrmdir
Description of slroc
Description of slrotmat
Description of slscatter
Description of slsharedisp
Description of slsharedisp_at...
Description of slsharedisp_de...
Description of slsharedisp_de...
Description of slsharedisp_in...
Description of slsharedisp_re...
Description of slsharedisp_wo...
Description of slshowtext
Description of slstrsplit
Description of slstructsize
Description of slsum
Description of slsumstat_blks
Description of slsymeig
Description of slsymgeig
Description of slsymgraph
Description of sltakeval
Description of sltensor_dot
Description of sltensor_fold
Description of sltensor_multi...
Description of sltensor_norm
Description of sltensor_svd
Description of sltensor_unfold
Description of sltrace2x2
Description of sltypesize
Description of slvecfilters
Description of slvechist
Description of slverifyroc
Description of slverifyroc_bl...
Description of slverifyroc_par
Description of slvote
Description of slwhiten_from_...
Description of slwhiten_from_...
Description of slwritearray
Description of slwritetext
Description of subsref
Description of subsref
Description of write
Description of writeblank
Description of writefile
Description of writeinfo
Description of xml_addattribs
Description of xml_getattribs
Index for Directory sltoolbox
Index for Directory sltoolbox...
Index for Directory sltoolbox...
Index for Directory sltoolbox...
Index for Directory sltoolbox...
Index for Directory sltoolbox...
Index for Directory sltoolbox...
Index for Directory sltoolbox...
Index for Directory sltoolbox...
Index for Directory sltoolbox...
Index for Directory sltoolbox...
Index for Directory sltoolbox...
Index for Directory sltoolbox...
Index for Directory sltoolbox...
Index for Directory sltoolbox...
Index for Directory sltoolbox...
Index for Directory sltoolbox...
Index for Directory sltoolbox...
Index for Directory sltoolbox...
Index for Directory sltoolbox...
Index for Directory sltoolbox...
Index for Directory sltoolbox...
Index for Directory sltoolbox...
Index for Directory sltoolbox...
Index for Directory sltoolbox...
Index for Directory sltoolbox...
Index for Directory sltoolbox...
Matlab Index
Matlab Index
View all files
from
Statistical Learning Toolbox
by
Dahua Lin
Functions for statistical learning, pattern recognition and computer vision, covering many topics.
Matlab Index
Statistical Learning Toolbox
By Dahua Lin
Matlab Directories
sltoolbox
sltoolbox\ExpDL
sltoolbox\ExpDL\@dataset
sltoolbox\ann
sltoolbox\cluster
sltoolbox\core
sltoolbox\discrete
sltoolbox\fileio
sltoolbox\fileio\@sllog
sltoolbox\graph
sltoolbox\imgproc
sltoolbox\interp
sltoolbox\kernel
sltoolbox\learn
sltoolbox\manifold
sltoolbox\perfeval
sltoolbox\regression
sltoolbox\smallmat
sltoolbox\stat
sltoolbox\subspace
sltoolbox\subspace_ex
sltoolbox\tensor
sltoolbox\text
sltoolbox\utils
sltoolbox\utils_ex
sltoolbox\visualize
sltoolbox\xmlkits
Matlab Files found in these Directories
addfiles
slcorrectrate
slinvoke
slproglearn
annsearch
slcorrectrate_blks
slisabspath
slpruneedgeset
close
slcount
slisfields
slpwcalc
construct_dataset_filenames
slcountlines
slisguid
slpwcomp_blks
dataset
slcountvote
slisomap
slpweval
decindent
slcov
sliterproc
slpwgraph
detachfiles
slcovlarge
slkernel
slpwmetricgraph
disp
slcovpca
slkernelembed
slpwscatter
display
slcovs
slkernelfea
slrange2indcells
edl_batchexp
slcumuscore
slkernels2dists
slrangespace
edl_buildiidxdict
sldet2x2
slkernelscatter
slreadarray
edl_check_internalindices
sldiff_pw
slkfd
slreadtext
edl_go
sldim_by_eigval
slkmeans
slreevallearn
edl_initctrlfile
sldiscrep
slkmeansex
slregcov
edl_logerror
sldistmean
slkpca
slresizeimg
edl_readctrlfile
sldists2kernels
sllabeledsum
slrmdir
edl_readenvvars
sldlda
sllabelinds
slroc
edl_readexpdefs
sldrawellipse
sllda
slrotmat
edl_readexpdefs_old
sldrawgraph
sllemap
slscatter
edl_readprops
sldrawlabeledpts
sllinreg
slsharedisp
edl_readreport
sldrawmanipts
sllinrega
slsharedisp_attach
edl_readscript
sldrawmultiellipse
sllle
slsharedisp_decindent
edl_updatectrlfile
sldrawpts
sllle_wg
slsharedisp_detach
edl_writeprops
sledges2adjmat
sllocalcoordalign
slsharedisp_incindent
edl_writereport
sledgeset
sllocaltancoords
slsharedisp_reset
edl_writescript
sledgeset2adjlist
sllocaltanspace
slsharedisp_word
get
slenforce
sllog
slshowtext
get
slequalpar2D
sllogdet
slstrsplit
incindent
slevalfunctor
sllogistreg
slstructsize
install_cppcores
slexpand
slltsa
slsum
install_paths
slfilepart
slmakeadjmat
slsumstat_blks
isactive
slfiltersize
slmax
slsymeig
isattached
slfiltertext
slmean
slsymgeig
raise_lackinput
slfindnn
slmeans
slsymgraph
readfile
slfld
slmetric_cp
sltakeval
setactive
slfmm
slmetric_pw
sltensor_dot
sl2dmatcov
slgaborbands
slmetric_pw_blks
sltensor_fold
sl2dpca_apply
slgausscomb
slmin
sltensor_multiply
sl2dpca_construct
slgaussest
slmkdir
sltensor_norm
sl2dpcaex
slgaussinv
slmul
sltensor_svd
sladd
slgaussmdist
slmulrowcols
sltensor_unfold
sladdpath
slgausspdf
slmulvec
sltrace2x2
sladdrowcols
slgaussrnd
slnbreconweights
sltypesize
sladdvec
slgausstype
slnlda
slvecfilters
sladjlist
slgbfe
slnngraph
slvechist
sladjlist2edgeset
slgda
slnorm
slverifyroc
sladjmat
slgembed
slnormalize
slverifyroc_blks
slaffinitymat
slgetinterpkernel
slnullspace
slverifyroc_par
slallcombs
slgetroc
slnums2bounds
slvote
slallsubinds
slgmm
slpadimg
slwhiten_from_cov
slapplyfilterband
slgraphinfo
slparblocks
slwhiten_from_samples
slapplypca
slgridsamples
slparse_assignment
slwritearray
slarrmean
slguid
slparseprops
slwritetext
slbenchmark_batchfilter
slguidstr
slpartition
subsref
slcalcpadsize
slhistmetric_cp
slpartitionpca
subsref
slcartprod
slhistmetric_pw
slpartitionpca_apply
write
slcenkernel
slhistroc
slpartitionpca_construct
writeblank
slchangefilepart
slignorevars
slpca
writefile
slclassify
slimg2mat
slpcarecon
writeinfo
slclassify_blks
slimginterp
slpcareduce
xml_addattribs
slclassify_eucnn
slimgsetprep
slpixlinnorm
xml_getattribs
slcmds
slinitarray
slpixneighbors
slcompresstext
slinv2x2
slpoolcov
slconfine
slinvcov
slposteriori
slcopca
slinvevals
slposterioritrue
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