IEEE Trans Neural Netw Learn Syst - Partially shared latent factor learning with multiview data.

Tópicos

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

Multiview representations reveal the fundamental attributes of the studied instances from different perspectives. Some common perspectives are reviewed by multiple views simultaneously, while some specific ones are reflected by individual views. That is, there are two kinds of properties embedded in the multiview data: 1) consistency and 2) complementarity. Different from most multiview learning approaches only focusing on either consistency or complementarity, this paper proposes a novel semisupervised multiview learning algorithm, called partially shared latent factor (PSLF) learning, which jointly exploits both consistent and complementary information among multiple views. In PSLF, a nonnegative matrix factorization (NMF)-based formulation is adopted to learn a compact and comprehensive partially shared latent representation, which is composed of common latent factors shared by multiple views and some specific latent factors to each view. With the learned representations of multiview data, we introduce a robust sparse regression model to predict the cluster labels of labeled data. By integrating the NMF-based model and the regression model, we obtain a unified formulation and propose a multiplicative-based alternative algorithm for optimization. In addition, PSLF can learn the weights of different views adaptively according to the reconstruction precisions of data matrices. Our experimental study indicates different multiview data that contains consistent and complementary information in different degrees. In addition, the encouraging results of the proposed algorithm are achieved in comparison with the state-of-the-art algorithms on real-world data sets.

Resumo Limpo

multiview represent reveal fundament attribut studi instanc differ perspect common perspect review multipl view simultan specif one reflect individu view two kind properti embed multiview data consist complementar differ multiview learn approach focus either consist complementar paper propos novel semisupervis multiview learn algorithm call partial share latent factor pslf learn joint exploit consist complementari inform among multipl view pslf nonneg matrix factor nmfbase formul adopt learn compact comprehens partial share latent represent compos common latent factor share multipl view specif latent factor view learn represent multiview data introduc robust spars regress model predict cluster label label data integr nmfbase model regress model obtain unifi formul propos multiplicativebas altern algorithm optim addit pslf can learn weight differ view adapt accord reconstruct precis data matric experiment studi indic differ multiview data contain consist complementari inform differ degre addit encourag result propos algorithm achiev comparison stateoftheart algorithm realworld data set

Resumos Similares

IEEE Trans Pattern Anal Mach Intell - Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-scale Image Retrieval. ( 0,772142593013592 )
IEEE Trans Pattern Anal Mach Intell - Label Consistent K-SVD: Learning A Discriminative Dictionary for Recognition. ( 0,766389204928377 )
Neural Comput - Computing sparse representations of multidimensional signals using Kronecker bases. ( 0,758016439191241 )
IEEE Trans Pattern Anal Mach Intell - Learning Categories from Few Examples with Multi Model Knowledge Transfer. ( 0,72193468712914 )
IEEE Trans Image Process - Manifold regularized multitask learning for semi-supervised multilabel image classification. ( 0,720549491183741 )
IEEE Trans Image Process - Multiview Hessian regularization for image annotation. ( 0,705666415142563 )
J. Comput. Biol. - The irredundant class method for remote homology detection of protein sequences. ( 0,703301972857515 )
IEEE Trans Pattern Anal Mach Intell - Distance-Based Image Classification: Generalizing to New Classes at Near Zero Cost. ( 0,701034987816609 )
IEEE Trans Pattern Anal Mach Intell - Feature Selection with Conjunctions of Decision Stumps and Learning from Microarray Data. ( 0,697851134281629 )
Neural Comput - Adaptive metric learning vector quantization for ordinal classification. ( 0,696804677907673 )
Comput Math Methods Med - On multilabel classification methods of incompletely labeled biomedical text data. ( 0,69582283355053 )
Neural Comput - Multiple spectral kernel learning and a gaussian complexity computation. ( 0,695712531894813 )
Neural Comput - Reduction from cost-sensitive ordinal ranking to weighted binary classification. ( 0,692755976031207 )
IEEE Trans Image Process - Self-supervised online metric learning with low rank constraint for scene categorization. ( 0,690669552093174 )
IEEE Trans Image Process - A linear support higher-order tensor machine for classification. ( 0,684295828048397 )
IEEE Trans Image Process - Incremental training of a detector using online sparse eigendecomposition. ( 0,681344582175552 )
J Am Med Inform Assoc - Learning classification models with soft-label information. ( 0,680172785348324 )
IEEE Trans Neural Netw Learn Syst - Learning Stable Multilevel Dictionaries for Sparse Representations. ( 0,680151512408227 )
BMC Med Inform Decis Mak - Decision tree-based learning to predict patient controlled analgesia consumption and readjustment. ( 0,676935253036195 )
J Med Syst - 3D similarity-dissimilarity plot for high dimensional data visualization in the context of biomedical pattern classification. ( 0,676701602090207 )
J. Comput. Biol. - Imbalanced class learning in epigenetics. ( 0,675679958854109 )
Int J Neural Syst - Aggregation of sparse linear discriminant analyses for event-related potential classification in brain-computer interface. ( 0,673423730361215 )
IEEE Trans Neural Netw Learn Syst - A Kernel Classification Framework for Metric Learning. ( 0,673376084207402 )
J Biomed Inform - Learning classification models from multiple experts. ( 0,667741664224895 )
Int J Neural Syst - Structurally enhanced incremental neural learning for image classification with subgraph extraction. ( 0,664240019999473 )
IEEE Trans Image Process - Active learning for solving the incomplete data problem in facial age classification by the furthest nearest-neighbor criterion. ( 0,663960631391915 )
IEEE Trans Image Process - Hyperspectral image classification through bilayer graph-based learning. ( 0,663894774443117 )
IEEE Trans Image Process - Artistic image analysis using graph-based learning approaches. ( 0,663720749172756 )
Artif Intell Med - A classifier ensemble approach for the missing feature problem. ( 0,662304199535159 )
Neural Comput - Representing objects, relations, and sequences. ( 0,662006495529778 )
Int J Neural Syst - Linear time relational prototype based learning. ( 0,661952536743332 )
IEEE Trans Neural Netw Learn Syst - ML-Tree: a tree-structure-based approach to multilabel learning. ( 0,659261726112994 )
IEEE Trans Pattern Anal Mach Intell - Representation Learning: A Review and New Perspectives. ( 0,659170085350024 )
J Biomed Inform - Markov blanket-based approach for learning multi-dimensional Bayesian network classifiers: an application to predict the European Quality of Life-5 Dimensions (EQ-5D) from the 39-item Parkinson's Disease Questionnaire (PDQ-39). ( 0,658203325254372 )
J Chem Inf Model - Classifying large chemical data sets: using a regularized potential function method. ( 0,657915054873652 )
IEEE Trans Image Process - Geodesic propagation for semantic labeling. ( 0,656962820397614 )
IEEE Trans Image Process - Joint segmentation of images and scanned point cloud in large-scale street scenes with low-annotation cost. ( 0,654038315319268 )
J Biomed Inform - Active learning strategies for the deduplication of electronic patient data using classification trees. ( 0,653531979454142 )
IEEE Trans Image Process - Dimensionality reduction for registration of high-dimensional data sets. ( 0,653510418556489 )
IEEE Trans Image Process - Learning discriminative dictionary for group sparse representation. ( 0,652512216139062 )
Int J Neural Syst - Online semi-supervised growing neural gas. ( 0,652495791938216 )
J Biomed Inform - Class proximity measures--dissimilarity-based classification and display of high-dimensional data. ( 0,65215505846611 )
Neural Comput - Guaranteed classification via regularized similarity learning. ( 0,650894112826249 )
IEEE Trans Image Process - Unsupervised amplitude and texture classification of SAR images with multinomial latent model. ( 0,648088863856969 )
IEEE Trans Pattern Anal Mach Intell - Latent Dirichlet Allocation Models for Image Classification. ( 0,647333937955633 )
IEEE Trans Image Process - Assemble new object detector with few examples. ( 0,646220967167506 )
IEEE Trans Image Process - Data-dependent hashing based on p-stable distribution. ( 0,645913636057757 )
IEEE J Biomed Health Inform - Service-oriented medical system for supporting decisions with missing and imbalanced data. ( 0,644431246241242 )
IEEE Trans Neural Netw Learn Syst - Ordinal Distance Metric Learning for Image Ranking. ( 0,644387723743017 )
Comput. Biol. Med. - Robust prediction of protein subcellular localization combining PCA and WSVMs. ( 0,644031981582191 )
Comput Methods Programs Biomed - Modified CC-LR algorithm with three diverse feature sets for motor imagery tasks classification in EEG based brain-computer interface. ( 0,643694858137495 )
Comput. Biol. Med. - Sparse Manifold Clustering and Embedding to discriminate gene expression profiles of glioblastoma and meningioma tumors. ( 0,642635843504106 )
J Biomed Inform - Portable automatic text classification for adverse drug reaction detection via multi-corpus training. ( 0,64221813968295 )
Comput Math Methods Med - Correlation kernels for support vector machines classification with applications in cancer data. ( 0,642188503255873 )
Neural Comput - Divergence-based vector quantization. ( 0,641671182561485 )
J Chem Inf Model - Training based on ligand efficiency improves prediction of bioactivities of ligands and drug target proteins in a machine learning approach. ( 0,641073941992324 )
Int J Neural Syst - Span: spike pattern association neuron for learning spatio-temporal spike patterns. ( 0,64050123852885 )
IEEE Trans Vis Comput Graph - Abstracting Attribute Space for Transfer Function Exploration and Design. ( 0,639797358028821 )
IEEE Trans Pattern Anal Mach Intell - Weakly Supervised Recognition of Daily Life Activities with Wearable Sensors. ( 0,638759615327239 )
IEEE Trans Image Process - Multiple-kernel, multiple-instance similarity features for efficient visual object detection. ( 0,638579563910967 )
IEEE Trans Image Process - Design of non-linear kernel dictionaries for object recognition. ( 0,638119452470483 )
Neural Comput - Online learning with (multiple) kernels: a review. ( 0,637345947188604 )
J Biomed Inform - Incremental Gaussian Discriminant Analysis based on Graybill and Deal weighted combination of estimators for brain tumour diagnosis. ( 0,636932067831787 )
Neural Comput - Information-theoretic semi-supervised metric learning via entropy regularization. ( 0,631749272146112 )
IEEE Trans Neural Netw Learn Syst - Adaptive Batch Mode Active Learning. ( 0,631573948781563 )
Med Decis Making - The Impact of Oversampling with SMOTE on the Performance of 3 Classifiers in Prediction of Type 2 Diabetes. ( 0,63128058025484 )
J Biomed Inform - Semi-supervised clinical text classification with Laplacian SVMs: an application to cancer case management. ( 0,629905471686075 )
AMIA Annu Symp Proc - Classification of medication status change in clinical narratives. ( 0,627803477613286 )
IEEE J Biomed Health Inform - Systematic Poisoning Attacks on and Defenses for Machine Learning in Healthcare. ( 0,62726885694206 )
IEEE Trans Image Process - Saliency and gist features for target detection in satellite images. ( 0,62604373733652 )
J. Comput. Biol. - Locally learning biomedical data using diffusion frames. ( 0,624581524783512 )
AMIA Annu Symp Proc - Learning medical diagnosis models from multiple experts. ( 0,624434075812277 )
IEEE Trans Pattern Anal Mach Intell - Learning with Augmented Features for Supervised and Semi-supervised Heterogeneous Domain Adaptation. ( 0,624246238900326 )
IEEE Trans Image Process - Max-margin multiattribute learning with low-rank constraint. ( 0,623534849532585 )
Neural Comput - Metacognitive learning in a fully complex-valued radial basis function neural network. ( 0,62056293376245 )
IEEE Trans Neural Netw Learn Syst - Online Sequential Extreme Learning Machine With Kernels. ( 0,618785498996201 )
IEEE Trans Image Process - Task-specific image partitioning. ( 0,618021138979982 )
IEEE Trans Image Process - Visual classification with multitask joint sparse representation. ( 0,617782054401023 )
Comput Math Methods Med - Dimensionality reduction by supervised neighbor embedding using laplacian search. ( 0,616091670345674 )
J Am Med Inform Assoc - Active learning for clinical text classification: is it better than random sampling? ( 0,615936397919872 )
Neural Comput - Learning rates of lq coefficient regularization learning with gaussian kernel. ( 0,615140985965777 )
Brief. Bioinformatics - Multi-stage learning aids applied to hands-on software training. ( 0,61468986723159 )
Methods Inf Med - Probability machines: consistent probability estimation using nonparametric learning machines. ( 0,613060555712698 )
AMIA Annu Symp Proc - Sample-efficient learning with auxiliary class-label information. ( 0,610332063316523 )
J Biomed Inform - Multi-label classification of chronically ill patients with bag of words and supervised dimensionality reduction algorithms. ( 0,609283868844091 )
IEEE Trans Image Process - Improving Web image search by bag-based reranking. ( 0,609197361085311 )
IEEE Trans Image Process - Structured max-margin learning for inter-related classifier training and multilabel image annotation. ( 0,606923168281002 )
Neural Comput - Unsupervised learning of generative and discriminative weights encoding elementary image components in a predictive coding model of cortical function. ( 0,606695128074655 )
IEEE Trans Pattern Anal Mach Intell - Unsupervised Adaptation Across Domain Shifts By Generating Intermediate Data Representations. ( 0,605221746527065 )
Comput Methods Programs Biomed - Biomedical system based on the Discrete Hidden Markov Model using the Rocchio-Genetic approach for the classification of internal carotid artery Doppler signals. ( 0,604282429375542 )
Int J Neural Syst - Epileptic EEG classification based on kernel sparse representation. ( 0,60157625602055 )
IEEE Trans Neural Netw Learn Syst - Learning With Mixed Hard/Soft Pointwise Constraints. ( 0,599480830988921 )
IEEE Trans Neural Netw Learn Syst - Semi-supervised domain adaptation on manifolds. ( 0,598964173417693 )
Comput Math Methods Med - Pulse waveform classification using support vector machine with Gaussian time warp edit distance kernel. ( 0,598866588083199 )
Neural Comput - Feature selection for ordinal text classification. ( 0,5981194423959 )
Int J Comput Assist Radiol Surg - Statistical shape model of a liver for autopsy imaging. ( 0,598116290731907 )
BMC Med Inform Decis Mak - Learning to improve medical decision making from imbalanced data without a priori cost. ( 0,594927828254171 )
IEEE Trans Pattern Anal Mach Intell - Facial Age Estimation by Learning from Label Distributions. ( 0,594390319286554 )
IEEE Trans Pattern Anal Mach Intell - Classification and Boosting with Multiple Collaborative Representations. ( 0,594140304975172 )
Comput Methods Programs Biomed - Multistage approach for clustering and classification of ECG data. ( 0,591931927584381 )