Statistical Learning Toolbox: slverifyroc_par() - File Exchange

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 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 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_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 slwritearray

Description of slwritetext

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...

Matlab Index

Highlights from Statistical Learning Toolbox

Highlights from
Statistical Learning Toolbox