IEEE Trans Image Process - Double shrinking sparse dimension reduction.

Tópicos

{ problem(2511) optim(1539) algorithm(950) }
{ imag(1947) propos(1133) code(1026) }
{ perform(1367) use(1326) method(1137) }
{ system(1976) rule(880) can(841) }
{ learn(2355) train(1041) set(1003) }
{ model(2341) predict(2261) use(1141) }
{ structur(1116) can(940) graph(676) }
{ featur(1941) imag(1645) propos(1176) }
{ cost(1906) reduc(1198) effect(832) }
{ method(984) reconstruct(947) comput(926) }
{ framework(1458) process(801) describ(734) }
{ search(2224) databas(1162) retriev(909) }
{ algorithm(1844) comput(1787) effici(935) }
{ sampl(1606) size(1419) use(1276) }
{ first(2504) two(1366) second(1323) }
{ patient(1821) servic(1111) care(1106) }
{ high(1669) rate(1365) level(1280) }
{ result(1111) use(1088) new(759) }
{ method(1969) cluster(1462) data(1082) }
{ imag(2830) propos(1344) filter(1198) }
{ studi(2440) review(1878) systemat(933) }
{ treatment(1704) effect(941) patient(846) }
{ method(1557) propos(1049) approach(1037) }
{ general(901) number(790) one(736) }
{ studi(1410) differ(1259) use(1210) }
{ import(1318) role(1303) understand(862) }
{ studi(1119) effect(1106) posit(819) }
{ can(981) present(881) function(850) }
{ use(976) code(926) identifi(902) }
{ use(1733) differ(960) four(931) }
{ estim(2440) model(1874) function(577) }
{ model(3404) distribut(989) bayesian(671) }
{ can(774) often(719) complex(702) }
{ data(1737) use(1416) pattern(1282) }
{ inform(2794) health(2639) internet(1427) }
{ measur(2081) correl(1212) valu(896) }
{ imag(1057) registr(996) error(939) }
{ bind(1733) structur(1185) ligand(1036) }
{ sequenc(1873) structur(1644) protein(1328) }
{ method(1219) similar(1157) match(930) }
{ featur(3375) classif(2383) classifi(1994) }
{ network(2748) neural(1063) input(814) }
{ imag(2675) segment(2577) method(1081) }
{ patient(2315) diseas(1263) diabet(1191) }
{ take(945) account(800) differ(722) }
{ motion(1329) object(1292) video(1091) }
{ assess(1506) score(1403) qualiti(1306) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ error(1145) method(1030) estim(1020) }
{ chang(1828) time(1643) increas(1301) }
{ concept(1167) ontolog(924) domain(897) }
{ clinic(1479) use(1117) guidelin(835) }
{ extract(1171) text(1153) clinic(932) }
{ data(1714) softwar(1251) tool(1186) }
{ design(1359) user(1324) use(1319) }
{ control(1307) perform(991) simul(935) }
{ model(2220) cell(1177) simul(1124) }
{ care(1570) inform(1187) nurs(1089) }
{ case(1353) use(1143) diagnosi(1136) }
{ howev(809) still(633) remain(590) }
{ data(3963) clinic(1234) research(1004) }
{ risk(3053) factor(974) diseas(938) }
{ perform(999) metric(946) measur(919) }
{ research(1085) discuss(1038) issu(1018) }
{ system(1050) medic(1026) inform(1018) }
{ visual(1396) interact(850) tool(830) }
{ compound(1573) activ(1297) structur(1058) }
{ blood(1257) pressur(1144) flow(957) }
{ spatial(1525) area(1432) region(1030) }
{ record(1888) medic(1808) patient(1693) }
{ health(3367) inform(1360) care(1135) }
{ model(3480) simul(1196) paramet(876) }
{ monitor(1329) mobil(1314) devic(1160) }
{ ehr(2073) health(1662) electron(1139) }
{ state(1844) use(1261) util(961) }
{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ model(2656) set(1616) predict(1553) }
{ data(2317) use(1299) case(1017) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
{ signal(2180) analysi(812) frequenc(800) }
{ group(2977) signific(1463) compar(1072) }
{ gene(2352) biolog(1181) express(1162) }
{ data(3008) multipl(1320) sourc(1022) }
{ intervent(3218) particip(2042) group(1664) }
{ activ(1138) subject(705) human(624) }
{ time(1939) patient(1703) rate(768) }
{ use(2086) technolog(871) perceiv(783) }
{ analysi(2126) use(1163) compon(1037) }
{ health(1844) social(1437) communiti(874) }
{ cancer(2502) breast(956) screen(824) }
{ drug(1928) target(777) effect(648) }
{ implement(1333) system(1263) develop(1122) }
{ survey(1388) particip(1329) question(1065) }
{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ activ(1452) weight(1219) physic(1104) }
{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

Learning tasks such as classification and clustering usually perform better and cost less (time and space) on compressed representations than on the original data. Previous works mainly compress data via dimension reduction. In this paper, we propose "double shrinking" to compress image data on both dimensionality and cardinality via building either sparse low-dimensional representations or a sparse projection matrix for dimension reduction. We formulate a double shrinking model (DSM) as an l(1) regularized variance maximization with constraint ||x||(2)=1, and develop a double shrinking algorithm (DSA) to optimize DSM. DSA is a path-following algorithm that can build the whole solution path of locally optimal solutions of different sparse levels. Each solution on the path is a "warm start" for searching the next sparser one. In each iteration of DSA, the direction, the step size, and the Lagrangian multiplier are deduced from the Karush-Kuhn-Tucker conditions. The magnitudes of trivial variables are shrunk and the importances of critical variables are simultaneously augmented along the selected direction with the determined step length. Double shrinking can be applied to manifold learning and feature selections for better interpretation of features, and can be combined with classification and clustering to boost their performance. The experimental results suggest that double shrinking produces efficient and effective data compression.

Resumo Limpo

learn task classif cluster usual perform better cost less time space compress represent origin data previous work main compress data via dimens reduct paper propos doubl shrink compress imag data dimension cardin via build either spars lowdimension represent spars project matrix dimens reduct formul doubl shrink model dsm l regular varianc maxim constraint x develop doubl shrink algorithm dsa optim dsm dsa pathfollow algorithm can build whole solut path local optim solut differ spars level solut path warm start search next sparser one iter dsa direct step size lagrangian multipli deduc karushkuhntuck condit magnitud trivial variabl shrunk import critic variabl simultan augment along select direct determin step length doubl shrink can appli manifold learn featur select better interpret featur can combin classif cluster boost perform experiment result suggest doubl shrink produc effici effect data compress

Resumos Similares

IEEE Trans Image Process - Deconvolving images with unknown boundaries using the alternating direction method of multipliers. ( 0,79068407783659 )
IEEE Trans Neural Netw Learn Syst - Scalable Nonparametric Low-Rank Kernel Learning Using Block Coordinate Descent. ( 0,779468159675953 )
IEEE Trans Image Process - A general framework for regularized, similarity-based image restoration. ( 0,761421579327212 )
Comput Biol Chem - A hyper-heuristic for the Longest Common Subsequence problem. ( 0,759836765794068 )
Comput Math Methods Med - Energy preserved sampling for compressed sensing MRI. ( 0,759462136421193 )
IEEE Trans Image Process - A primal-dual method for total-variation-based wavelet domain inpainting. ( 0,758444411145094 )
Neural Comput - Active subspace: toward scalable low-rank learning. ( 0,742772679534972 )
IEEE Trans Image Process - Image completion by diffusion maps and spectral relaxation. ( 0,740178625008582 )
IEEE Trans Image Process - Efficient algorithms for robust recovery of images from compressed data. ( 0,738073575222365 )
IEEE Trans Image Process - Coupled variational image decomposition and restoration model for blurred cartoon-plus-texture images with missing pixels. ( 0,732577947587701 )
IEEE Trans Pattern Anal Mach Intell - Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-scale Image Retrieval. ( 0,722113417947343 )
IEEE Trans Image Process - ADART: an adaptive algebraic reconstruction algorithm for discrete tomography. ( 0,720341770025952 )
IEEE Trans Vis Comput Graph - ViSizer: A Visualization Resizing Framework. ( 0,713128975527851 )
J. Comput. Biol. - The co phylogeny reconstruction problem is NP-complete. ( 0,711889923760967 )
IEEE Trans Pattern Anal Mach Intell - Maximum Correntropy Criterion for Robust Face Recognition. ( 0,708755073887263 )
IEEE Trans Image Process - Demosaicking by alternating projections: theory and fast one-step implementation. ( 0,708571305188484 )
IEEE Trans Pattern Anal Mach Intell - Robust Recovery of Corrupted Low-rank Matrix by Implicit Regularizers. ( 0,707841946986761 )
IEEE Trans Image Process - Multiplicative noise removal via a learned dictionary. ( 0,706821478447708 )
IEEE Trans Image Process - Graph cuts for curvature based image denoising. ( 0,703187743317193 )
IEEE Trans Image Process - An iterative L1-based image restoration algorithm with an adaptive parameter estimation. ( 0,700709379270406 )
IEEE Trans Image Process - Robust principal component analysis based on maximum correntropy criterion. ( 0,699092240491655 )
IEEE Trans Pattern Anal Mach Intell - A Tensor-Based Algorithm for High-Order Graph Matching. ( 0,698731995944657 )
IEEE Trans Neural Netw Learn Syst - A one-class kernel fisher criterion for outlier detection. ( 0,69857804065412 )
IEEE Trans Image Process - Improved image recovery from compressed data contaminated with impulsive noise. ( 0,697820946062851 )
IEEE Trans Image Process - A fast majorize-minimize algorithm for the recovery of sparse and low-rank matrices. ( 0,694960372128214 )
IEEE Trans Image Process - Parameter selection for total-variation-based image restoration using discrepancy principle. ( 0,691205176882224 )
IEEE Trans Image Process - Efficient algorithm for nonconvex minimization and its application to PM regularization. ( 0,690996989478694 )
Neural Comput - A proof of convergence of the concave-convex procedure using Zangwill's theory. ( 0,688359558776445 )
IEEE Trans Image Process - Colorization-based compression using optimization. ( 0,688246781935137 )
IEEE Trans Image Process - Iterative channel decoding of FEC-based multiple-description codes. ( 0,687908268641353 )
IEEE Trans Image Process - Restoration of Poissonian images using alternating direction optimization. ( 0,687613874823228 )
IEEE Trans Pattern Anal Mach Intell - A Variance Minimization Criterion to Feature Selection Using Laplacian Regularization. ( 0,686834194097851 )
IEEE Trans Image Process - Smoothed low rank and sparse matrix recovery by iteratively reweighted least squares minimization. ( 0,68551845127199 )
IEEE Trans Neural Netw Learn Syst - Incremental Support Vector Learning for Ordinal Regression. ( 0,685343897133538 )
IEEE Trans Image Process - A bit allocation method for sparse source coding. ( 0,683718292082859 )
IEEE Trans Image Process - Alternating direction method for balanced image restoration. ( 0,682217600203925 )
J Biomed Inform - Tag SNP selection via a genetic algorithm. ( 0,680807688250666 )
IEEE Trans Neural Netw Learn Syst - A Neurodynamic Optimization Method for Recovery of Compressive Sensed Signals With Globally Converged Solution Approximating to l0 Minimization. ( 0,678089975888447 )
IEEE Trans Image Process - A majorize-minimize strategy for subspace optimization applied to image restoration. ( 0,677094516880695 )
IEEE Trans Pattern Anal Mach Intell - Learning with Augmented Features for Supervised and Semi-supervised Heterogeneous Domain Adaptation. ( 0,674679549783307 )
IEEE Trans Image Process - Landmark image super-resolution by retrieving web images. ( 0,673568254522152 )
IEEE Trans Image Process - Sparse stochastic processes and discretization of linear inverse problems. ( 0,673512878962436 )
IEEE Trans Image Process - Coupled dictionary training for image super-resolution. ( 0,672975316446223 )
IEEE Trans Pattern Anal Mach Intell - Minimum Near-Convex Shape Decomposition. ( 0,672922687483528 )
IEEE Trans Image Process - Illumination recovery from image with cast shadows via sparse representation. ( 0,672859915609758 )
Neural Comput - Learning rates of lq coefficient regularization learning with gaussian kernel. ( 0,671688058204569 )
IEEE Trans Image Process - Efficient rate-distortion optimal packetization of embedded bitstreams into independent source packets. ( 0,671623340209221 )
IEEE Trans Image Process - Fast image recovery using variable splitting and constrained optimization. ( 0,670746857084267 )
IEEE Trans Image Process - An alternating minimization algorithm for binary image restoration. ( 0,6683357053148 )
IEEE Trans Image Process - Generalized Nash Bargaining Solution to Rate Control Optimization for Spatial Scalable Video Coding. ( 0,666436918665946 )
IEEE Trans Image Process - Minimization of monotonically levelable higher order MRF energies via graph cuts. ( 0,666319054455594 )
IEEE Trans Image Process - Robust web image/video super-resolution. ( 0,666074511328468 )
IEEE Trans Pattern Anal Mach Intell - Constrained Nonnegative Matrix Factorization for Image Representation. ( 0,664875760976001 )
Neural Comput - Linear coordinate-descent message passing for quadratic optimization. ( 0,664686344504179 )
IEEE Trans Image Process - A regularized model-based optimization framework for pan-sharpening. ( 0,664104711895934 )
IEEE Trans Image Process - An iterative linear expansion of thresholds for l1-based image restoration. ( 0,663821099077742 )
IEEE Trans Image Process - Total variation regularization via continuation to recover compressed hyperspectral images. ( 0,663617622968651 )
IEEE Trans Image Process - Optimizing a tone curve for backward-compatible high dynamic range image and video compression. ( 0,663228806467154 )
Neural Comput - Block clustering based on difference of convex functions (DC) programming and DC algorithms. ( 0,662466926733934 )
Neural Comput - Large margin low rank tensor analysis. ( 0,66120765400881 )
Med Biol Eng Comput - An adaptive Tikhonov regularization method for fluorescence molecular tomography. ( 0,660854060511071 )
IEEE Trans Neural Netw Learn Syst - Learning With Mixed Hard/Soft Pointwise Constraints. ( 0,660729464704929 )
IEEE Trans Pattern Anal Mach Intell - Optimized Product Quantization. ( 0,660354544025587 )
Comput Math Methods Med - Optimal control of the lost to follow up in a tuberculosis model. ( 0,660324214932559 )
IEEE Trans Image Process - A coding-cost framework for super-resolution motion layer decomposition. ( 0,658618501823697 )
IEEE Trans Image Process - Generalized higher degree total variation (HDTV) regularization. ( 0,658184855039075 )
IEEE Trans Image Process - Regularization parameter selection for nonlinear iterative image restoration and MRI reconstruction using GCV and SURE-based methods. ( 0,657994493796398 )
IEEE Trans Pattern Anal Mach Intell - Graph Regularized Nonnegative Matrix Factorization for Data Representation. ( 0,657202205034391 )
IEEE Trans Pattern Anal Mach Intell - Sparse Subspace Clustering: Algorithm, Theory, and Applications. ( 0,656115857778384 )
IEEE Trans Image Process - Iterative shrinkage approach to restoration of optical imagery. ( 0,654049332762907 )
IEEE Trans Image Process - A generalized accelerated proximal gradient approach for total-variation-based image restoration. ( 0,653338522313544 )
IEEE Trans Image Process - A fast adaptive parameter estimation for total variation image restoration. ( 0,652964753653309 )
Neural Comput - Alternating direction methods for latent variable gaussian graphical model selection. ( 0,652588104775883 )
IEEE Trans Image Process - Compressive blind image deconvolution. ( 0,65218042785833 )
IEEE Trans Image Process - An orientation inference framework for surface reconstruction from unorganized point clouds. ( 0,652140572924278 )
IEEE Trans Pattern Anal Mach Intell - Linear Scale and Rotation Invariant Matching. ( 0,651637531917343 )
IEEE Trans Image Process - An alternating direction algorithm for total variation reconstruction of distributed parameters. ( 0,651313190313544 )
IEEE Trans Pattern Anal Mach Intell - Intrinsic Image Decomposition Using a Sparse Representation of Reflectance. ( 0,650165757820802 )
IEEE Trans Image Process - Exemplar-based image inpainting using multiscale graph cuts. ( 0,650033442171658 )
IEEE Trans Pattern Anal Mach Intell - Forward Basis Selection for Pursuing Sparse Representations Over a Dictionary. ( 0,649708507112091 )
IEEE Trans Image Process - Gradient-based image recovery methods from incomplete Fourier measurements. ( 0,649591443591141 )
Neural Comput - Guaranteed classification via regularized similarity learning. ( 0,64905598552037 )
IEEE Trans Image Process - Optimal design of FIR triplet halfband filter bank and application in image coding. ( 0,647502097079393 )
Neural Comput - Nondegenerate piecewise linear systems: a finite Newton algorithm and applications in machine learning. ( 0,647502097079393 )
IEEE Trans Image Process - Fast l1-minimization algorithms for robust face recognition. ( 0,646678320990028 )
IEEE Trans Pattern Anal Mach Intell - Shape Representation and Registration in Vector Implicit Spaces: Adopting a Closed Form Solution in the Optimization Process. ( 0,646563529417101 )
IEEE Trans Image Process - Parameter estimation for blind and non-blind deblurring using residual whiteness measures. ( 0,646384795491477 )
IEEE Trans Image Process - Design of interchannel MRF model for probabilistic multichannel image processing. ( 0,641322085409103 )
IEEE Trans Neural Netw Learn Syst - Convergence and rate analysis of neural networks for sparse approximation. ( 0,640254177474854 )
IEEE Trans Image Process - On the construction of topology-preserving deformation fields. ( 0,639685192456961 )
IEEE Trans Pattern Anal Mach Intell - Angular Embedding: A Robust Quadratic Criterion. ( 0,638605232431265 )
IEEE Trans Image Process - Blind spectral unmixing based on sparse nonnegative matrix factorization. ( 0,63764880429775 )
IEEE Trans Image Process - Context-dependent logo matching and recognition. ( 0,63676957130854 )
Comput Math Methods Med - A 3D finite-difference BiCG iterative solver with the Fourier-Jacobi preconditioner for the anisotropic EIT/EEG forward problem. ( 0,636637333530087 )
IEEE Trans Image Process - Hessian Schatten-norm regularization for linear inverse problems. ( 0,636433087317443 )
IEEE Trans Image Process - Robust feature point matching with sparse model. ( 0,635949284077062 )
Neural Comput - Alternating proximal regularized dictionary learning. ( 0,635586188815596 )
IEEE Trans Pattern Anal Mach Intell - A Closed-Form Solution to Retinex with Nonlocal Texture Constraints. ( 0,634848160662426 )
IEEE Trans Image Process - Manifold regularized discriminative nonnegative matrix factorization with fast gradient descent. ( 0,632924815967691 )
J. Comput. Biol. - An improved satisfiability algorithm for nested canalyzing functions and its application to determining a singleton attractor of a Boolean network. ( 0,632847815717318 )