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. |
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