IEEE Trans Image Process - Task-specific image partitioning.

Tópicos

{ learn(2355) train(1041) set(1003) }
{ featur(1941) imag(1645) propos(1176) }
{ structur(1116) can(940) graph(676) }
{ featur(3375) classif(2383) classifi(1994) }
{ activ(1138) subject(705) human(624) }
{ can(981) present(881) function(850) }
{ general(901) number(790) one(736) }
{ cancer(2502) breast(956) screen(824) }
{ result(1111) use(1088) new(759) }
{ survey(1388) particip(1329) question(1065) }
{ process(1125) use(805) approach(778) }
{ method(1969) cluster(1462) data(1082) }
{ error(1145) method(1030) estim(1020) }
{ method(1557) propos(1049) approach(1037) }
{ research(1085) discuss(1038) issu(1018) }
{ import(1318) role(1303) understand(862) }
{ estim(2440) model(1874) function(577) }
{ method(2212) result(1239) propos(1039) }
{ system(1976) rule(880) can(841) }
{ bind(1733) structur(1185) ligand(1036) }
{ motion(1329) object(1292) video(1091) }
{ concept(1167) ontolog(924) domain(897) }
{ control(1307) perform(991) simul(935) }
{ studi(1410) differ(1259) use(1210) }
{ model(2341) predict(2261) use(1141) }
{ perform(1367) use(1326) method(1137) }
{ state(1844) use(1261) util(961) }
{ group(2977) signific(1463) compar(1072) }
{ sampl(1606) size(1419) use(1276) }
{ intervent(3218) particip(2042) group(1664) }
{ use(976) code(926) identifi(902) }
{ implement(1333) system(1263) develop(1122) }
{ model(3404) distribut(989) bayesian(671) }
{ can(774) often(719) complex(702) }
{ imag(1947) propos(1133) code(1026) }
{ data(1737) use(1416) pattern(1282) }
{ inform(2794) health(2639) internet(1427) }
{ measur(2081) correl(1212) valu(896) }
{ imag(1057) registr(996) error(939) }
{ sequenc(1873) structur(1644) protein(1328) }
{ method(1219) similar(1157) match(930) }
{ imag(2830) propos(1344) filter(1198) }
{ network(2748) neural(1063) input(814) }
{ imag(2675) segment(2577) method(1081) }
{ patient(2315) diseas(1263) diabet(1191) }
{ take(945) account(800) differ(722) }
{ studi(2440) review(1878) systemat(933) }
{ assess(1506) score(1403) qualiti(1306) }
{ treatment(1704) effect(941) patient(846) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ framework(1458) process(801) describ(734) }
{ problem(2511) optim(1539) algorithm(950) }
{ chang(1828) time(1643) increas(1301) }
{ clinic(1479) use(1117) guidelin(835) }
{ algorithm(1844) comput(1787) effici(935) }
{ 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) }
{ method(984) reconstruct(947) comput(926) }
{ search(2224) databas(1162) retriev(909) }
{ 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) }
{ system(1050) medic(1026) inform(1018) }
{ visual(1396) interact(850) tool(830) }
{ compound(1573) activ(1297) structur(1058) }
{ studi(1119) effect(1106) posit(819) }
{ 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) }
{ 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) }
{ time(1939) patient(1703) rate(768) }
{ patient(1821) servic(1111) care(1106) }
{ use(2086) technolog(871) perceiv(783) }
{ analysi(2126) use(1163) compon(1037) }
{ health(1844) social(1437) communiti(874) }
{ high(1669) rate(1365) level(1280) }
{ use(1733) differ(960) four(931) }
{ drug(1928) target(777) effect(648) }
{ decis(3086) make(1611) patient(1517) }
{ activ(1452) weight(1219) physic(1104) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

Image partitioning is an important preprocessing step for many of the state-of-the-art algorithms used for performing high-level computer vision tasks. Typically, partitioning is conducted without regard to the task in hand. We propose a task-specific image partitioning framework to produce a region-based image representation that will lead to a higher task performance than that reached using any task-oblivious partitioning framework and existing supervised partitioning framework, albeit few in number. The proposed method partitions the image by means of correlation clustering, maximizing a linear discriminant function defined over a superpixel graph. The parameters of the discriminant function that define task-specific similarity/dissimilarity among superpixels are estimated based on structured support vector machine (S-SVM) using task-specific training data. The S-SVM learning leads to a better generalization ability while the construction of the superpixel graph used to define the discriminant function allows a rich set of features to be incorporated to improve discriminability and robustness. We evaluate the learned task-aware partitioning algorithms on three benchmark datasets. Results show that task-aware partitioning leads to better labeling performance than the partitioning computed by the state-of-the-art general-purpose and supervised partitioning algorithms. We believe that the task-specific image partitioning paradigm is widely applicable to improving performance in high-level image understanding tasks.

Resumo Limpo

imag partit import preprocess step mani stateoftheart algorithm use perform highlevel comput vision task typic partit conduct without regard task hand propos taskspecif imag partit framework produc regionbas imag represent will lead higher task perform reach use taskoblivi partit framework exist supervis partit framework albeit number propos method partit imag mean correl cluster maxim linear discrimin function defin superpixel graph paramet discrimin function defin taskspecif similaritydissimilar among superpixel estim base structur support vector machin ssvm use taskspecif train data ssvm learn lead better general abil construct superpixel graph use defin discrimin function allow rich set featur incorpor improv discrimin robust evalu learn taskawar partit algorithm three benchmark dataset result show taskawar partit lead better label perform partit comput stateoftheart generalpurpos supervis partit algorithm believ taskspecif imag partit paradigm wide applic improv perform highlevel imag understand task

Resumos Similares

IEEE Trans Image Process - Structured max-margin learning for inter-related classifier training and multilabel image annotation. ( 0,908062674766465 )
Comput Math Methods Med - On multilabel classification methods of incompletely labeled biomedical text data. ( 0,871613729233717 )
IEEE Trans Image Process - A linear support higher-order tensor machine for classification. ( 0,83495664107859 )
IEEE Trans Image Process - Geodesic propagation for semantic labeling. ( 0,828789529502269 )
IEEE Trans Neural Netw Learn Syst - An efficient topological distance-based tree kernel. ( 0,828739979568318 )
J Am Med Inform Assoc - Learning classification models with soft-label information. ( 0,825602089633836 )
J Biomed Inform - Class proximity measures--dissimilarity-based classification and display of high-dimensional data. ( 0,825199645511747 )
IEEE Trans Neural Netw Learn Syst - A Kernel Classification Framework for Metric Learning. ( 0,820905082576285 )
IEEE Trans Image Process - Manifold regularized multitask learning for semi-supervised multilabel image classification. ( 0,818771452397964 )
IEEE Trans Pattern Anal Mach Intell - Facial Age Estimation by Learning from Label Distributions. ( 0,818569946413466 )
Neural Comput - Reduction from cost-sensitive ordinal ranking to weighted binary classification. ( 0,814541081366232 )
IEEE Trans Neural Netw Learn Syst - ML-Tree: a tree-structure-based approach to multilabel learning. ( 0,812020706792038 )
J. Comput. Biol. - Imbalanced class learning in epigenetics. ( 0,808042486758321 )
J Biomed Inform - Semi-supervised clinical text classification with Laplacian SVMs: an application to cancer case management. ( 0,807519748237238 )
J Chem Inf Model - Note on naive Bayes based on binary descriptors in cheminformatics. ( 0,804269999846613 )
IEEE Trans Pattern Anal Mach Intell - Distance-Based Image Classification: Generalizing to New Classes at Near Zero Cost. ( 0,803309717107224 )
IEEE Trans Pattern Anal Mach Intell - Feature Selection with Conjunctions of Decision Stumps and Learning from Microarray Data. ( 0,799725726412787 )
Neural Comput - Adaptive metric learning vector quantization for ordinal classification. ( 0,799725236957337 )
Neural Comput - Online learning with (multiple) kernels: a review. ( 0,799088243260842 )
IEEE Trans Pattern Anal Mach Intell - Trainable Convolution Filters and Their Application to Face Recognition. ( 0,798413060160057 )
IEEE Trans Pattern Anal Mach Intell - Representation Learning: A Review and New Perspectives. ( 0,794141841403263 )
IEEE Trans Pattern Anal Mach Intell - Feature Selection and Kernel Learning for Local Learning-Based Clustering. ( 0,794061875728512 )
IEEE Trans Image Process - Improving Web image search by bag-based reranking. ( 0,792990673776224 )
IEEE J Biomed Health Inform - Systematic Poisoning Attacks on and Defenses for Machine Learning in Healthcare. ( 0,792639148259509 )
Neural Comput - Adaptive multiclass classification for brain computer interfaces. ( 0,792639148259509 )
Int J Neural Syst - Structurally enhanced incremental neural learning for image classification with subgraph extraction. ( 0,789270761966882 )
J Med Syst - 3D similarity-dissimilarity plot for high dimensional data visualization in the context of biomedical pattern classification. ( 0,788064732605732 )
IEEE Trans Image Process - Active learning for solving the incomplete data problem in facial age classification by the furthest nearest-neighbor criterion. ( 0,787420863949411 )
IEEE Trans Image Process - Joint segmentation of images and scanned point cloud in large-scale street scenes with low-annotation cost. ( 0,787072862106001 )
Comput. Biol. Med. - Sparse Manifold Clustering and Embedding to discriminate gene expression profiles of glioblastoma and meningioma tumors. ( 0,782842531426851 )
Int J Neural Syst - Aggregation of sparse linear discriminant analyses for event-related potential classification in brain-computer interface. ( 0,782692559011938 )
Int J Neural Syst - Online semi-supervised growing neural gas. ( 0,779322536798727 )
Neural Comput - Computing sparse representations of multidimensional signals using Kronecker bases. ( 0,77922040468656 )
IEEE Trans Image Process - Multiview Hessian regularization for image annotation. ( 0,77718945533988 )
IEEE Trans Image Process - Unsupervised amplitude and texture classification of SAR images with multinomial latent model. ( 0,775562854734601 )
Comput Math Methods Med - Correlation kernels for support vector machines classification with applications in cancer data. ( 0,771812083985112 )
J Biomed Inform - Incremental Gaussian Discriminant Analysis based on Graybill and Deal weighted combination of estimators for brain tumour diagnosis. ( 0,770119849404349 )
Int J Neural Syst - Linear time relational prototype based learning. ( 0,770031268242858 )
IEEE Trans Pattern Anal Mach Intell - Weakly Supervised Recognition of Daily Life Activities with Wearable Sensors. ( 0,769718439829018 )
IEEE Trans Image Process - Hyperspectral image classification through bilayer graph-based learning. ( 0,768761582990576 )
IEEE Trans Pattern Anal Mach Intell - Label Consistent K-SVD: Learning A Discriminative Dictionary for Recognition. ( 0,760523398777701 )
Neural Comput - Incremental learning by message passing in hierarchical temporal memory. ( 0,760160265275408 )
IEEE Trans Neural Netw Learn Syst - Adaptive Batch Mode Active Learning. ( 0,759754169485199 )
Comput Math Methods Med - A novel multiinstance learning approach for liver cancer recognition on abdominal CT images based on CPSO-SVM and IO. ( 0,757601842949018 )
Comput. Biol. Med. - Robust prediction of protein subcellular localization combining PCA and WSVMs. ( 0,75645129388708 )
IEEE Trans Image Process - Cooperative sparse representation in two opposite directions for semi-supervised image annotation. ( 0,75331701501705 )
J Biomed Inform - Multi-label classification of chronically ill patients with bag of words and supervised dimensionality reduction algorithms. ( 0,749785299793426 )
J. Comput. Biol. - Locally learning biomedical data using diffusion frames. ( 0,747909568797589 )
Neural Comput - Metacognitive learning in a fully complex-valued radial basis function neural network. ( 0,745028492949569 )
IEEE Trans Image Process - Self-supervised online metric learning with low rank constraint for scene categorization. ( 0,741242178038102 )
J Chem Inf Model - Training based on ligand efficiency improves prediction of bioactivities of ligands and drug target proteins in a machine learning approach. ( 0,740966619375625 )
J Biomed Inform - Learning classification models from multiple experts. ( 0,740454220351005 )
Neural Comput - Divergence-based vector quantization. ( 0,738604836368686 )
Neural Comput - Large margin low rank tensor analysis. ( 0,731938066596712 )
J Chem Inf Model - Atom environment kernels on molecules. ( 0,729955249589551 )
IEEE Trans Image Process - Grassmannian regularized structured multi-view embedding for image classification. ( 0,729052834711724 )
Int J Neural Syst - Span: spike pattern association neuron for learning spatio-temporal spike patterns. ( 0,727385584063822 )
IEEE Trans Image Process - Multiple-kernel, multiple-instance similarity features for efficient visual object detection. ( 0,726860814754747 )
Comput Methods Programs Biomed - Modified CC-LR algorithm with three diverse feature sets for motor imagery tasks classification in EEG based brain-computer interface. ( 0,726685482276799 )
Artif Intell Med - A classifier ensemble approach for the missing feature problem. ( 0,72535691875433 )
IEEE Trans Pattern Anal Mach Intell - Good Practice in Large-Scale Learning for Image Classification. ( 0,722476115222869 )
Neural Comput - Multiple spectral kernel learning and a gaussian complexity computation. ( 0,722204446493398 )
IEEE Trans Image Process - Design of non-linear kernel dictionaries for object recognition. ( 0,722145761075366 )
J Am Med Inform Assoc - Active learning for clinical text classification: is it better than random sampling? ( 0,718875220933076 )
Neural Comput - Mismatched training and test distributions can outperform matched ones. ( 0,716827359560609 )
J Biomed Inform - Portable automatic text classification for adverse drug reaction detection via multi-corpus training. ( 0,716432163506508 )
IEEE Trans Image Process - Object detection with DoG scale-space: a multiple kernel learning approach. ( 0,711767457856163 )
J Chem Inf Model - Classifying large chemical data sets: using a regularized potential function method. ( 0,711707198848649 )
IEEE Trans Image Process - Learning discriminative dictionary for group sparse representation. ( 0,711577751217728 )
IEEE Trans Image Process - Saliency and gist features for target detection in satellite images. ( 0,711357808962126 )
IEEE Trans Image Process - Incremental training of a detector using online sparse eigendecomposition. ( 0,709213788464706 )
IEEE Trans Pattern Anal Mach Intell - A Bag-of-Features Framework to Classify Time Series. ( 0,706735570796389 )
Neural Comput - Representing objects, relations, and sequences. ( 0,701369101577832 )
IEEE Trans Image Process - Blur and illumination robust face recognition via set-theoretic characterization. ( 0,698808182970973 )
BMC Med Inform Decis Mak - Learning to improve medical decision making from imbalanced data without a priori cost. ( 0,697676812086103 )
IEEE Trans Image Process - Stable orthogonal local discriminant embedding for linear dimensionality reduction. ( 0,694644277727423 )
IEEE Trans Pattern Anal Mach Intell - Learning Categories from Few Examples with Multi Model Knowledge Transfer. ( 0,692384928714004 )
Neural Comput - Unsupervised learning of generative and discriminative weights encoding elementary image components in a predictive coding model of cortical function. ( 0,691027634416003 )
IEEE Trans Image Process - Artistic image analysis using graph-based learning approaches. ( 0,690269903903978 )
Int J Comput Assist Radiol Surg - Statistical shape model of a liver for autopsy imaging. ( 0,688470352185647 )
IEEE Trans Image Process - Supervised ordering in IRp: application to morphological processing of hyperspectral images. ( 0,685675390893205 )
AMIA Annu Symp Proc - Comparison and combination of several MeSH indexing approaches. ( 0,681119166931209 )
IEEE Trans Image Process - Random forest construction with robust semisupervised node splitting. ( 0,680526502853263 )
J Biomed Inform - Applying active learning to assertion classification of concepts in clinical text. ( 0,677022394207556 )
Comput Methods Programs Biomed - Multistage approach for clustering and classification of ECG data. ( 0,67674357600583 )
IEEE Trans Pattern Anal Mach Intell - The Effect of Model Misspecification on Semi-Supervised Classification. ( 0,676142845575333 )
IEEE Trans Pattern Anal Mach Intell - Latent Dirichlet Allocation Models for Image Classification. ( 0,675503657091666 )
IEEE Trans Image Process - Cross-Device Automated Prostate Cancer Localization With Multiparametric MRI. ( 0,674844294995515 )
J Med Syst - Mammographic image based breast tissue classification with kernel self-optimized fisher discriminant for breast cancer diagnosis. ( 0,674414478706998 )
Comput. Biol. Med. - EEG-based emotion estimation using Bayesian weighted-log-posterior function and perceptron convergence algorithm. ( 0,670953118701419 )
J Chem Inf Model - Modeling and benchmark data set for the inhibition of c-Jun N-terminal kinase-3. ( 0,670808246537882 )
Artif Intell Med - A fuzzy-based data transformation for feature extraction to increase classification performance with small medical data sets. ( 0,670534502001998 )
IEEE Trans Pattern Anal Mach Intell - Learning Hierarchical Features for Scene Labeling. ( 0,669882906275967 )
IEEE Trans Image Process - Coaching the exploration and exploitation in active learning for interactive video retrieval. ( 0,666341384058053 )
Neural Comput - Extended robust support vector machine based on financial risk minimization. ( 0,665367320233108 )
J Biomed Inform - Active learning strategies for the deduplication of electronic patient data using classification trees. ( 0,664879789441311 )
IEEE Trans Image Process - Contextual kernel and spectral methods for learning the semantics of images. ( 0,664792919170027 )
IEEE Trans Image Process - Multiple kernel sparse representations for supervised and unsupervised learning. ( 0,664558222176222 )
IEEE Trans Image Process - Sparse representation with kernels. ( 0,662754653758838 )
IEEE Trans Image Process - Real-time probabilistic covariance tracking with efficient model update. ( 0,662262677416472 )