IEEE Trans Image Process - Improving Web image search by bag-based reranking.

Tópicos

{ learn(2355) train(1041) set(1003) }
{ use(976) code(926) identifi(902) }
{ method(2212) result(1239) propos(1039) }
{ imag(2675) segment(2577) method(1081) }
{ detect(2391) sensit(1101) algorithm(908) }
{ method(1969) cluster(1462) data(1082) }
{ bind(1733) structur(1185) ligand(1036) }
{ search(2224) databas(1162) retriev(909) }
{ featur(1941) imag(1645) propos(1176) }
{ perform(1367) use(1326) method(1137) }
{ model(3404) distribut(989) bayesian(671) }
{ imag(1057) registr(996) error(939) }
{ imag(2830) propos(1344) filter(1198) }
{ motion(1329) object(1292) video(1091) }
{ treatment(1704) effect(941) patient(846) }
{ control(1307) perform(991) simul(935) }
{ method(984) reconstruct(947) comput(926) }
{ visual(1396) interact(850) tool(830) }
{ health(1844) social(1437) communiti(874) }
{ high(1669) rate(1365) level(1280) }
{ result(1111) use(1088) new(759) }
{ measur(2081) correl(1212) valu(896) }
{ problem(2511) optim(1539) algorithm(950) }
{ clinic(1479) use(1117) guidelin(835) }
{ general(901) number(790) one(736) }
{ spatial(1525) area(1432) region(1030) }
{ monitor(1329) mobil(1314) devic(1160) }
{ group(2977) signific(1463) compar(1072) }
{ sampl(1606) size(1419) use(1276) }
{ structur(1116) can(940) graph(676) }
{ drug(1928) target(777) effect(648) }
{ implement(1333) system(1263) develop(1122) }
{ estim(2440) model(1874) function(577) }
{ can(774) often(719) complex(702) }
{ imag(1947) propos(1133) code(1026) }
{ data(1737) use(1416) pattern(1282) }
{ inform(2794) health(2639) internet(1427) }
{ system(1976) rule(880) can(841) }
{ sequenc(1873) structur(1644) protein(1328) }
{ method(1219) similar(1157) match(930) }
{ featur(3375) classif(2383) classifi(1994) }
{ network(2748) neural(1063) input(814) }
{ patient(2315) diseas(1263) diabet(1191) }
{ take(945) account(800) differ(722) }
{ studi(2440) review(1878) systemat(933) }
{ assess(1506) score(1403) qualiti(1306) }
{ 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) }
{ algorithm(1844) comput(1787) effici(935) }
{ extract(1171) text(1153) clinic(932) }
{ method(1557) propos(1049) approach(1037) }
{ data(1714) softwar(1251) tool(1186) }
{ design(1359) user(1324) use(1319) }
{ 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) }
{ studi(1410) differ(1259) use(1210) }
{ risk(3053) factor(974) diseas(938) }
{ perform(999) metric(946) measur(919) }
{ research(1085) discuss(1038) issu(1018) }
{ system(1050) medic(1026) inform(1018) }
{ import(1318) role(1303) understand(862) }
{ model(2341) predict(2261) use(1141) }
{ compound(1573) activ(1297) structur(1058) }
{ 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) }
{ 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) }
{ cost(1906) reduc(1198) effect(832) }
{ gene(2352) biolog(1181) express(1162) }
{ data(3008) multipl(1320) sourc(1022) }
{ 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) }
{ use(2086) technolog(871) perceiv(783) }
{ can(981) present(881) function(850) }
{ analysi(2126) use(1163) compon(1037) }
{ cancer(2502) breast(956) screen(824) }
{ use(1733) differ(960) four(931) }
{ survey(1388) particip(1329) question(1065) }
{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ activ(1452) weight(1219) physic(1104) }

Resumo

Given a textual query in traditional text-based image retrieval (TBIR), relevant images are to be reranked using visual features after the initial text-based search. In this paper, we propose a new bag-based reranking framework for large-scale TBIR. Specifically, we first cluster relevant images using both textual and visual features. By treating each cluster as a "bag" and the images in the bag as "instances," we formulate this problem as a multi-instance (MI) learning problem. MI learning methods such as mi-SVM can be readily incorporated into our bag-based reranking framework. Observing that at least a certain portion of a positive bag is of positive instances while a negative bag might also contain positive instances, we further use a more suitable generalized MI (GMI) setting for this application. To address the ambiguities on the instance labels in the positive and negative bags under this GMI setting, we develop a new method referred to as GMI-SVM to enhance retrieval performance by propagating the labels from the bag level to the instance level. To acquire bag annotations for (G)MI learning, we propose a bag ranking method to rank all the bags according to the defined bag ranking score. The top ranked bags are used as pseudopositive training bags, while pseudonegative training bags can be obtained by randomly sampling a few irrelevant images that are not associated with the textual query. Comprehensive experiments on the challenging real-world data set NUS-WIDE demonstrate our framework with automatic bag annotation can achieve the best performances compared with existing image reranking methods. Our experiments also demonstrate that GMI-SVM can achieve better performances when using the manually labeled training bags obtained from relevance feedback.

Resumo Limpo

given textual queri tradit textbas imag retriev tbir relev imag rerank use visual featur initi textbas search paper propos new bagbas rerank framework largescal tbir specif first cluster relev imag use textual visual featur treat cluster bag imag bag instanc formul problem multiinst mi learn problem mi learn method misvm can readili incorpor bagbas rerank framework observ least certain portion posit bag posit instanc negat bag might also contain posit instanc use suitabl general mi gmi set applic address ambigu instanc label posit negat bag gmi set develop new method refer gmisvm enhanc retriev perform propag label bag level instanc level acquir bag annot gmi learn propos bag rank method rank bag accord defin bag rank score top rank bag use pseudoposit train bag pseudoneg train bag can obtain random sampl irrelev imag associ textual queri comprehens experi challeng realworld data set nuswid demonstr framework automat bag annot can achiev best perform compar exist imag rerank method experi also demonstr gmisvm can achiev better perform use manual label train bag obtain relev feedback

Resumos Similares

Comput Math Methods Med - On multilabel classification methods of incompletely labeled biomedical text data. ( 0,839098742953941 )
IEEE Trans Image Process - Joint segmentation of images and scanned point cloud in large-scale street scenes with low-annotation cost. ( 0,807035779062463 )
IEEE Trans Neural Netw Learn Syst - A Kernel Classification Framework for Metric Learning. ( 0,800849953800965 )
IEEE Trans Image Process - Task-specific image partitioning. ( 0,792990673776224 )
IEEE Trans Image Process - Geodesic propagation for semantic labeling. ( 0,792084227140899 )
Neural Comput - Adaptive metric learning vector quantization for ordinal classification. ( 0,790971780346959 )
J Med Syst - 3D similarity-dissimilarity plot for high dimensional data visualization in the context of biomedical pattern classification. ( 0,790547667057081 )
Int J Neural Syst - Structurally enhanced incremental neural learning for image classification with subgraph extraction. ( 0,789741371588683 )
J Am Med Inform Assoc - Learning classification models with soft-label information. ( 0,789599382612634 )
J Biomed Inform - Semi-supervised clinical text classification with Laplacian SVMs: an application to cancer case management. ( 0,786717003828026 )
J. Comput. Biol. - Imbalanced class learning in epigenetics. ( 0,783185258846212 )
Neural Comput - Reduction from cost-sensitive ordinal ranking to weighted binary classification. ( 0,776959384448 )
IEEE Trans Neural Netw Learn Syst - Adaptive Batch Mode Active Learning. ( 0,776172254333803 )
Comput. Biol. Med. - Sparse Manifold Clustering and Embedding to discriminate gene expression profiles of glioblastoma and meningioma tumors. ( 0,772901206417269 )
Comput Methods Programs Biomed - Multistage approach for clustering and classification of ECG data. ( 0,771644323329987 )
IEEE Trans Image Process - Manifold regularized multitask learning for semi-supervised multilabel image classification. ( 0,771476586518842 )
Neural Comput - Divergence-based vector quantization. ( 0,768042257828193 )
IEEE Trans Pattern Anal Mach Intell - Label Consistent K-SVD: Learning A Discriminative Dictionary for Recognition. ( 0,766414956759617 )
IEEE Trans Pattern Anal Mach Intell - Distance-Based Image Classification: Generalizing to New Classes at Near Zero Cost. ( 0,759997390951369 )
IEEE Trans Image Process - A linear support higher-order tensor machine for classification. ( 0,757030370338308 )
IEEE Trans Image Process - Structured max-margin learning for inter-related classifier training and multilabel image annotation. ( 0,752728569728466 )
Comput. Biol. Med. - Robust prediction of protein subcellular localization combining PCA and WSVMs. ( 0,752647316083161 )
Int J Neural Syst - Online semi-supervised growing neural gas. ( 0,752558209940433 )
Comput Math Methods Med - Correlation kernels for support vector machines classification with applications in cancer data. ( 0,750077172403353 )
IEEE J Biomed Health Inform - Systematic Poisoning Attacks on and Defenses for Machine Learning in Healthcare. ( 0,746748567096239 )
Comput Methods Programs Biomed - Comparison of machine learning methods for classifying aphasic and non-aphasic speakers. ( 0,743681471216335 )
J. Comput. Biol. - Locally learning biomedical data using diffusion frames. ( 0,741436155339694 )
IEEE Trans Pattern Anal Mach Intell - Feature Selection with Conjunctions of Decision Stumps and Learning from Microarray Data. ( 0,737947217128509 )
Int J Neural Syst - Span: spike pattern association neuron for learning spatio-temporal spike patterns. ( 0,737913062892396 )
IEEE Trans Image Process - Cross-Device Automated Prostate Cancer Localization With Multiparametric MRI. ( 0,737536965130716 )
IEEE Trans Image Process - Saliency and gist features for target detection in satellite images. ( 0,737529398281956 )
Int J Neural Syst - Aggregation of sparse linear discriminant analyses for event-related potential classification in brain-computer interface. ( 0,735986745202815 )
IEEE Trans Image Process - Artistic image analysis using graph-based learning approaches. ( 0,73525636216136 )
Neural Comput - Computing sparse representations of multidimensional signals using Kronecker bases. ( 0,734860486185559 )
J Biomed Inform - Class proximity measures--dissimilarity-based classification and display of high-dimensional data. ( 0,731170018566687 )
Neural Comput - Metacognitive learning in a fully complex-valued radial basis function neural network. ( 0,727625437868992 )
Neural Comput - Unsupervised learning of generative and discriminative weights encoding elementary image components in a predictive coding model of cortical function. ( 0,726336874462102 )
IEEE Trans Image Process - Multiview Hessian regularization for image annotation. ( 0,725633517463983 )
IEEE Trans Neural Netw Learn Syst - ML-Tree: a tree-structure-based approach to multilabel learning. ( 0,724666515725684 )
IEEE Trans Image Process - Learning discriminative dictionary for group sparse representation. ( 0,723849970666965 )
J Biomed Inform - Learning classification models from multiple experts. ( 0,723043716153072 )
J Biomed Inform - Incremental Gaussian Discriminant Analysis based on Graybill and Deal weighted combination of estimators for brain tumour diagnosis. ( 0,72175857092919 )
IEEE Trans Image Process - Unsupervised amplitude and texture classification of SAR images with multinomial latent model. ( 0,71906563794612 )
J Biomed Inform - Portable automatic text classification for adverse drug reaction detection via multi-corpus training. ( 0,715566377902019 )
J Biomed Inform - Multi-label classification of chronically ill patients with bag of words and supervised dimensionality reduction algorithms. ( 0,711831438666203 )
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. ( 0,711030988079278 )
IEEE Trans Image Process - Active learning for solving the incomplete data problem in facial age classification by the furthest nearest-neighbor criterion. ( 0,710228680610029 )
J Chem Inf Model - Training based on ligand efficiency improves prediction of bioactivities of ligands and drug target proteins in a machine learning approach. ( 0,708605371689256 )
IEEE Trans Pattern Anal Mach Intell - Weakly Supervised Recognition of Daily Life Activities with Wearable Sensors. ( 0,707559701333015 )
IEEE Trans Image Process - Hyperspectral image classification through bilayer graph-based learning. ( 0,706850777577499 )
Int J Neural Syst - Linear time relational prototype based learning. ( 0,706113761329076 )
IEEE Trans Neural Netw Learn Syst - An efficient topological distance-based tree kernel. ( 0,704692973546095 )
IEEE Trans Pattern Anal Mach Intell - Feature Selection and Kernel Learning for Local Learning-Based Clustering. ( 0,701589176625713 )
IEEE Trans Pattern Anal Mach Intell - The Effect of Model Misspecification on Semi-Supervised Classification. ( 0,69949515530069 )
J Am Med Inform Assoc - Active learning for clinical text classification: is it better than random sampling? ( 0,699149793665796 )
IEEE Trans Pattern Anal Mach Intell - Learning Categories from Few Examples with Multi Model Knowledge Transfer. ( 0,697256773361002 )
AMIA Annu Symp Proc - Comparison and combination of several MeSH indexing approaches. ( 0,693213878195377 )
J Am Med Inform Assoc - Supervised machine learning and active learning in classification of radiology reports. ( 0,692036104598767 )
Comput Methods Programs Biomed - Modified CC-LR algorithm with three diverse feature sets for motor imagery tasks classification in EEG based brain-computer interface. ( 0,690242639870433 )
Neural Comput - Multiple spectral kernel learning and a gaussian complexity computation. ( 0,690175835771013 )
IEEE Trans Pattern Anal Mach Intell - A Bag-of-Features Framework to Classify Time Series. ( 0,689588703363573 )
IEEE Trans Pattern Anal Mach Intell - Improved Object Categorization and Detection Using Comparative Object Similarity. ( 0,689532906411593 )
IEEE Trans Pattern Anal Mach Intell - Facial Age Estimation by Learning from Label Distributions. ( 0,687296977921617 )
IEEE Trans Image Process - Multiple-kernel, multiple-instance similarity features for efficient visual object detection. ( 0,685005958232798 )
IEEE Trans Image Process - Incremental training of a detector using online sparse eigendecomposition. ( 0,682539205896246 )
Int J Comput Assist Radiol Surg - Statistical shape model of a liver for autopsy imaging. ( 0,680158949747224 )
Artif Intell Med - A classifier ensemble approach for the missing feature problem. ( 0,678391732282299 )
Neural Comput - Online learning with (multiple) kernels: a review. ( 0,678146612161146 )
Neural Comput - Mismatched training and test distributions can outperform matched ones. ( 0,677844166357067 )
IEEE Trans Image Process - Contextual kernel and spectral methods for learning the semantics of images. ( 0,674481353991651 )
IEEE Trans Pattern Anal Mach Intell - Trainable Convolution Filters and Their Application to Face Recognition. ( 0,673952284227844 )
Neural Comput - Representing objects, relations, and sequences. ( 0,672537971954081 )
IEEE Trans Image Process - Self-supervised online metric learning with low rank constraint for scene categorization. ( 0,672360068588967 )
AMIA Annu Symp Proc - Outlier Detection with One-Class SVMs: An Application to Melanoma Prognosis. ( 0,671279984413161 )
IEEE Trans Pattern Anal Mach Intell - Representation Learning: A Review and New Perspectives. ( 0,670951800463816 )
J Med Syst - 3D matrix pattern based Support Vector Machines for identifying pulmonary cancer in CT scanned images. ( 0,667130053872049 )
IEEE Trans Image Process - Supervised ordering in IRp: application to morphological processing of hyperspectral images. ( 0,664510035501783 )
IEEE Trans Image Process - An automatic graph-based approach for artery/vein classification in retinal images. ( 0,662393233613854 )
Neural Comput - Incremental learning by message passing in hierarchical temporal memory. ( 0,657511643617068 )
J Chem Inf Model - Note on naive Bayes based on binary descriptors in cheminformatics. ( 0,655158930240135 )
BMC Med Inform Decis Mak - Learning to improve medical decision making from imbalanced data without a priori cost. ( 0,654723175008389 )
IEEE Trans Image Process - Design of non-linear kernel dictionaries for object recognition. ( 0,654684530223662 )
IEEE Trans Pattern Anal Mach Intell - Good Practice in Large-Scale Learning for Image Classification. ( 0,654033831209006 )
Neural Comput - Adaptive multiclass classification for brain computer interfaces. ( 0,652456658043448 )
J Biomed Inform - Applying active learning to assertion classification of concepts in clinical text. ( 0,651285545408063 )
IEEE Trans Image Process - Local learned dictionaries optimized to edge orientation for inverse halftoning. ( 0,648976348538278 )
Neural Comput - Large margin low rank tensor analysis. ( 0,648491783232721 )
BMC Med Inform Decis Mak - Decision tree-based learning to predict patient controlled analgesia consumption and readjustment. ( 0,6478607540817 )
Neural Comput - Feature selection for ordinal text classification. ( 0,646142191471203 )
J Chem Inf Model - Atom environment kernels on molecules. ( 0,645861140497698 )
J Biomed Inform - Classifying temporal relations in clinical data: a hybrid, knowledge-rich approach. ( 0,645463621347272 )
IEEE Trans Neural Netw Learn Syst - An Experimentation Platform for On-Chip Integration of Analog Neural Networks: A Pathway to Trusted and Robust Analog/RF ICs. ( 0,641241031855347 )
IEEE Trans Image Process - Coaching the exploration and exploitation in active learning for interactive video retrieval. ( 0,637473850852833 )
J Am Med Inform Assoc - Applying active learning to supervised word sense disambiguation in MEDLINE. ( 0,637195381959281 )
Med Decis Making - The Impact of Oversampling with SMOTE on the Performance of 3 Classifiers in Prediction of Type 2 Diabetes. ( 0,631976056288313 )
Comput Methods Programs Biomed - Auto-adaptive robot-aided therapy using machine learning techniques. ( 0,628976246701697 )
IEEE Trans Image Process - Learning Category-Specific Dictionary and Shared Dictionary for Fine-Grained Image Categorization. ( 0,628874222057594 )
J Med Syst - Mammographic image based breast tissue classification with kernel self-optimized fisher discriminant for breast cancer diagnosis. ( 0,628818572611665 )
Artif Intell Med - Multi-objective evolutionary algorithms for fuzzy classification in survival prediction. ( 0,627512750946037 )
Int J Med Inform - An exploratory study of a text classification framework for Internet-based surveillance of emerging epidemics. ( 0,626564009728769 )