IEEE Trans Image Process - Active learning for solving the incomplete data problem in facial age classification by the furthest nearest-neighbor criterion.

Tópicos

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

Resumo

Facial age classification is an approach to classify face images into one of several predefined age groups. One of the difficulties in applying learning techniques to the age classification problem is the large amount of labeled training data required. Acquiring such training data is very costly in terms of age progress, privacy, human time, and effort. Although unlabeled face images can be obtained easily, it would be expensive to manually label them on a large scale and getting the ground truth. The frugal selection of the unlabeled data for labeling to quickly reach high classification performance with minimal labeling efforts is a challenging problem. In this paper, we present an active learning approach based on an online incremental bilateral two-dimension linear discriminant analysis (IB2DLDA) which initially learns from a small pool of labeled data and then iteratively selects the most informative samples from the unlabeled set to increasingly improve the classifier. Specifically, we propose a novel data selection criterion called the furthest nearest-neighbor (FNN) that generalizes the margin-based uncertainty to the multiclass case and which is easy to compute, so that the proposed active learning algorithm can handle a large number of classes and large data sizes efficiently. Empirical experiments on FG-NET and Morph databases together with a large unlabeled data set for age categorization problems show that the proposed approach can achieve results comparable or even outperform a conventionally trained active classifier that requires much more labeling effort. Our IB2DLDA-FNN algorithm can achieve similar results much faster than random selection and with fewer samples for age categorization. It also can achieve comparable results with active SVM but is much faster than active SVM in terms of training because kernel methods are not needed. The results on the face recognition database and palmprint/palm vein database showed that our approach can handle problems with large number of classes. Our contributions in this paper are twofold. First, we proposed the IB2DLDA-FNN, the FNN being our novel idea, as a generic on-line or active learning paradigm. Second, we showed that it can be another viable tool for active learning of facial age range classification.

Resumo Limpo

facial age classif approach classifi face imag one sever predefin age group one difficulti appli learn techniqu age classif problem larg amount label train data requir acquir train data cost term age progress privaci human time effort although unlabel face imag can obtain easili expens manual label larg scale get ground truth frugal select unlabel data label quick reach high classif perform minim label effort challeng problem paper present activ learn approach base onlin increment bilater twodimens linear discrimin analysi ibdlda initi learn small pool label data iter select inform sampl unlabel set increas improv classifi specif propos novel data select criterion call furthest nearestneighbor fnn general marginbas uncertainti multiclass case easi comput propos activ learn algorithm can handl larg number class larg data size effici empir experi fgnet morph databas togeth larg unlabel data set age categor problem show propos approach can achiev result compar even outperform convent train activ classifi requir much label effort ibdldafnn algorithm can achiev similar result much faster random select fewer sampl age categor also can achiev compar result activ svm much faster activ svm term train kernel method need result face recognit databas palmprintpalm vein databas show approach can handl problem larg number class contribut paper twofold first propos ibdldafnn fnn novel idea generic onlin activ learn paradigm second show can anoth viabl tool activ learn facial age rang classif

Resumos Similares

IEEE Trans Neural Netw Learn Syst - Adaptive Batch Mode Active Learning. ( 0,835414481729753 )
IEEE Trans Image Process - A linear support higher-order tensor machine for classification. ( 0,83365468353282 )
Neural Comput - Adaptive metric learning vector quantization for ordinal classification. ( 0,825784871037918 )
Int J Neural Syst - Linear time relational prototype based learning. ( 0,811427348482656 )
J Am Med Inform Assoc - Active learning for clinical text classification: is it better than random sampling? ( 0,807296678588365 )
IEEE Trans Pattern Anal Mach Intell - Distance-Based Image Classification: Generalizing to New Classes at Near Zero Cost. ( 0,802011917046527 )
Neural Comput - Multiple spectral kernel learning and a gaussian complexity computation. ( 0,800580443140311 )
J. Comput. Biol. - Imbalanced class learning in epigenetics. ( 0,800284030900773 )
IEEE Trans Image Process - Structured max-margin learning for inter-related classifier training and multilabel image annotation. ( 0,796406060829356 )
IEEE Trans Neural Netw Learn Syst - A Kernel Classification Framework for Metric Learning. ( 0,793634596825893 )
IEEE Trans Image Process - Manifold regularized multitask learning for semi-supervised multilabel image classification. ( 0,790292750865382 )
IEEE Trans Image Process - Task-specific image partitioning. ( 0,787420863949411 )
Comput Math Methods Med - On multilabel classification methods of incompletely labeled biomedical text data. ( 0,77824045983869 )
IEEE Trans Image Process - Geodesic propagation for semantic labeling. ( 0,777761976881366 )
J Am Med Inform Assoc - Learning classification models with soft-label information. ( 0,770372827057189 )
Neural Comput - Computing sparse representations of multidimensional signals using Kronecker bases. ( 0,769309829986658 )
Int J Neural Syst - Aggregation of sparse linear discriminant analyses for event-related potential classification in brain-computer interface. ( 0,768944918685021 )
J Biomed Inform - Incremental Gaussian Discriminant Analysis based on Graybill and Deal weighted combination of estimators for brain tumour diagnosis. ( 0,766888261199685 )
J Biomed Inform - Applying active learning to assertion classification of concepts in clinical text. ( 0,764559471349917 )
Neural Comput - Reduction from cost-sensitive ordinal ranking to weighted binary classification. ( 0,763029490175033 )
IEEE Trans Pattern Anal Mach Intell - Weakly Supervised Recognition of Daily Life Activities with Wearable Sensors. ( 0,759927399269631 )
J Biomed Inform - Semi-supervised clinical text classification with Laplacian SVMs: an application to cancer case management. ( 0,754378726749304 )
IEEE Trans Pattern Anal Mach Intell - Facial Age Estimation by Learning from Label Distributions. ( 0,752208350909345 )
IEEE Trans Image Process - Joint segmentation of images and scanned point cloud in large-scale street scenes with low-annotation cost. ( 0,751749967158121 )
Int J Neural Syst - Online semi-supervised growing neural gas. ( 0,750401247054109 )
IEEE J Biomed Health Inform - Systematic Poisoning Attacks on and Defenses for Machine Learning in Healthcare. ( 0,732102606940591 )
IEEE Trans Pattern Anal Mach Intell - Feature Selection with Conjunctions of Decision Stumps and Learning from Microarray Data. ( 0,728889654261788 )
Int J Neural Syst - Structurally enhanced incremental neural learning for image classification with subgraph extraction. ( 0,727454571906396 )
J Med Syst - 3D similarity-dissimilarity plot for high dimensional data visualization in the context of biomedical pattern classification. ( 0,727089777083738 )
J Chem Inf Model - Classifying large chemical data sets: using a regularized potential function method. ( 0,726027500664537 )
J Chem Inf Model - Note on naive Bayes based on binary descriptors in cheminformatics. ( 0,725887414244671 )
J Biomed Inform - Class proximity measures--dissimilarity-based classification and display of high-dimensional data. ( 0,725476250110012 )
Comput. Biol. Med. - Sparse Manifold Clustering and Embedding to discriminate gene expression profiles of glioblastoma and meningioma tumors. ( 0,721566486785343 )
IEEE Trans Image Process - Hyperspectral image classification through bilayer graph-based learning. ( 0,721551843419671 )
J Biomed Inform - Multi-label classification of chronically ill patients with bag of words and supervised dimensionality reduction algorithms. ( 0,721011182248087 )
Neural Comput - Divergence-based vector quantization. ( 0,720934236907571 )
IEEE Trans Pattern Anal Mach Intell - Label Consistent K-SVD: Learning A Discriminative Dictionary for Recognition. ( 0,720283003360897 )
Comput. Biol. Med. - Robust prediction of protein subcellular localization combining PCA and WSVMs. ( 0,720032546431446 )
Neural Comput - Online learning with (multiple) kernels: a review. ( 0,714767676215987 )
IEEE Trans Image Process - Real-time probabilistic covariance tracking with efficient model update. ( 0,714555590995103 )
IEEE Trans Image Process - Multiview Hessian regularization for image annotation. ( 0,714347482973925 )
IEEE Trans Pattern Anal Mach Intell - Feature Selection and Kernel Learning for Local Learning-Based Clustering. ( 0,713966697533605 )
Neural Comput - Metacognitive learning in a fully complex-valued radial basis function neural network. ( 0,713744970395405 )
IEEE Trans Image Process - Unsupervised amplitude and texture classification of SAR images with multinomial latent model. ( 0,7125788945525 )
Neural Comput - Representing objects, relations, and sequences. ( 0,712105629887639 )
Int J Neural Syst - Span: spike pattern association neuron for learning spatio-temporal spike patterns. ( 0,711242606770998 )
IEEE Trans Image Process - Improving Web image search by bag-based reranking. ( 0,710228680610029 )
IEEE Trans Neural Netw Learn Syst - ML-Tree: a tree-structure-based approach to multilabel learning. ( 0,710171777638423 )
J Biomed Inform - Portable automatic text classification for adverse drug reaction detection via multi-corpus training. ( 0,703731611994724 )
Neural Comput - Feature selection for ordinal text classification. ( 0,699765550333126 )
J Chem Inf Model - Modeling and benchmark data set for the inhibition of c-Jun N-terminal kinase-3. ( 0,699583002133331 )
J Med Syst - Diagnosis of several diseases by using combined kernels with Support Vector Machine. ( 0,697669029328704 )
IEEE Trans Neural Netw Learn Syst - Ordinal Distance Metric Learning for Image Ranking. ( 0,69493797667346 )
IEEE Trans Image Process - Cooperative sparse representation in two opposite directions for semi-supervised image annotation. ( 0,693383115730222 )
Comput Math Methods Med - Dimensionality reduction by supervised neighbor embedding using laplacian search. ( 0,69313816097874 )
IEEE Trans Image Process - Artistic image analysis using graph-based learning approaches. ( 0,691740132716888 )
IEEE Trans Image Process - Self-supervised online metric learning with low rank constraint for scene categorization. ( 0,69011680186098 )
Neural Comput - Unsupervised learning of generative and discriminative weights encoding elementary image components in a predictive coding model of cortical function. ( 0,689164405717981 )
J. Comput. Biol. - Computing the probability of RNA hairpin and multiloop formation. ( 0,686300984957802 )
IEEE Trans Pattern Anal Mach Intell - Trainable Convolution Filters and Their Application to Face Recognition. ( 0,684365929270444 )
IEEE Trans Pattern Anal Mach Intell - Learning Categories from Few Examples with Multi Model Knowledge Transfer. ( 0,683905692466642 )
IEEE Trans Image Process - Incremental training of a detector using online sparse eigendecomposition. ( 0,683412008110555 )
Comput. Biol. Med. - Relabeling algorithm for retrieval of noisy instances and improving prediction quality. ( 0,682772422090144 )
Int J Neural Syst - Epileptic EEG classification based on kernel sparse representation. ( 0,68235613405323 )
IEEE Trans Pattern Anal Mach Intell - Representation Learning: A Review and New Perspectives. ( 0,681197713987952 )
Neural Comput - Incremental learning by message passing in hierarchical temporal memory. ( 0,680304032029845 )
Comput Math Methods Med - Correlation kernels for support vector machines classification with applications in cancer data. ( 0,678646255802002 )
IEEE Trans Image Process - Saliency and gist features for target detection in satellite images. ( 0,678463794271796 )
IEEE Trans Pattern Anal Mach Intell - The Effect of Model Misspecification on Semi-Supervised Classification. ( 0,678254121473013 )
BMC Med Inform Decis Mak - Learning to improve medical decision making from imbalanced data without a priori cost. ( 0,677947694136332 )
J Biomed Inform - Learning classification models from multiple experts. ( 0,675865740123659 )
IEEE Trans Neural Netw Learn Syst - An efficient topological distance-based tree kernel. ( 0,674052812435146 )
Neural Comput - Large margin low rank tensor analysis. ( 0,672188100240746 )
IEEE Trans Pattern Anal Mach Intell - Good Practice in Large-Scale Learning for Image Classification. ( 0,669605840385526 )
Comput Methods Programs Biomed - Multistage approach for clustering and classification of ECG data. ( 0,669570602759486 )
J Chem Inf Model - Anatomy of high-performance 2D similarity calculations. ( 0,668278799685646 )
J Chem Inf Model - Training based on ligand efficiency improves prediction of bioactivities of ligands and drug target proteins in a machine learning approach. ( 0,668190682711503 )
J Med Syst - 3D matrix pattern based Support Vector Machines for identifying pulmonary cancer in CT scanned images. ( 0,667548497816291 )
Neural Comput - Mismatched training and test distributions can outperform matched ones. ( 0,665107826636126 )
IEEE Trans Neural Netw Learn Syst - Partially shared latent factor learning with multiview data. ( 0,663960631391915 )
Comput. Biol. Med. - EEG-based emotion estimation using Bayesian weighted-log-posterior function and perceptron convergence algorithm. ( 0,661972824253477 )
IEEE Trans Image Process - Fast bilateral filter with arbitrary range and domain kernels. ( 0,661923108130454 )
IEEE Trans Vis Comput Graph - Exploring the Spectrum of Dynamic Scheduling Algorithms for Scalable Distributed-Memory Ray Tracing. ( 0,661294344278856 )
Comput Methods Programs Biomed - Modified CC-LR algorithm with three diverse feature sets for motor imagery tasks classification in EEG based brain-computer interface. ( 0,659110014629092 )
J. Comput. Biol. - Locally learning biomedical data using diffusion frames. ( 0,65836419438841 )
IEEE Trans Image Process - Multiple-kernel, multiple-instance similarity features for efficient visual object detection. ( 0,658175625382809 )
Artif Intell Med - A fuzzy-based data transformation for feature extraction to increase classification performance with small medical data sets. ( 0,655970775184657 )
IEEE Trans Image Process - Object detection with DoG scale-space: a multiple kernel learning approach. ( 0,655572839514969 )
J. Comput. Biol. - The irredundant class method for remote homology detection of protein sequences. ( 0,654667879867511 )
AMIA Annu Symp Proc - Comparison and combination of several MeSH indexing approaches. ( 0,652483095378644 )
IEEE Trans Image Process - Stable orthogonal local discriminant embedding for linear dimensionality reduction. ( 0,651684930217199 )
IEEE Trans Image Process - Learning discriminative dictionary for group sparse representation. ( 0,651457233665221 )
Comput Math Methods Med - A novel multiinstance learning approach for liver cancer recognition on abdominal CT images based on CPSO-SVM and IO. ( 0,648837689432987 )
Artif Intell Med - A classifier ensemble approach for the missing feature problem. ( 0,648722114562672 )
IEEE Trans Neural Netw Learn Syst - Fick's Law Assisted Propagation for Semisupervised Learning. ( 0,647989433149823 )
IEEE Trans Pattern Anal Mach Intell - Latent Dirichlet Allocation Models for Image Classification. ( 0,645887018359891 )
IEEE Trans Image Process - Design of non-linear kernel dictionaries for object recognition. ( 0,644513907386478 )
J Am Med Inform Assoc - Supervised machine learning and active learning in classification of radiology reports. ( 0,643970645732899 )
J Biomed Inform - Supervised methods for symptom name recognition in free-text clinical records of traditional Chinese medicine: an empirical study. ( 0,643598222070209 )
Med Decis Making - The Impact of Oversampling with SMOTE on the Performance of 3 Classifiers in Prediction of Type 2 Diabetes. ( 0,64271260748824 )