14.2.13.3 Optimal Path Forest Classification

Chapter Contents (Back)
Optimal Path Forest.

Souza, R.[Roberto], Rittner, L.[Letķcia], Lotufo, R.A.[Roberto A.],
A comparison between k-Optimum Path Forest and k-Nearest Neighbors supervised classifiers,
PRL(39), No. 1, 2014, pp. 2-10.
Elsevier DOI 1402
Optimum Path Forest BibRef

Papa, J.P.[Joćo Paulo], Falcćo, A.X.[Alexandre Xavier], de Albuquerque, V.H.C.[Victor Hugo C.], Tavares, J.M.R.S.[Joćo Manuel R.S.],
Efficient supervised optimum-path forest classification for large datasets,
PR(45), No. 1, 2012, pp. 512-520.
Elsevier DOI 1410
Award, Pattern Recognition. BibRef
Earlier: A1, A3, A2, A4:
Fast Automatic Microstructural Segmentation of Ferrous Alloy Samples Using Optimum-Path Forest,
CompIMAGE10(210-220).
Springer DOI 1006
Optimum-path forest classifiers BibRef

Martins, G.B.[Guilherme B.], Almeida, J.[Jurandy], Papa, J.P.[Joao Paulo],
Supervised Video Genre Classification Using Optimum-Path Forest,
CIARP15(735-742).
Springer DOI 1511
BibRef

Papa, J.P.[Joćo Paulo], Falcćo, A.X.[Alexandre Xavier], Suzuki, C.T.N.,
Supervised pattern classification based on optimum-path forest,
IJIST(19), No. 2, June 2009, pp. 120-131.
DOI Link 0905
BibRef
Earlier: A1, A2, Only:
A New Variant of the Optimum-Path Forest Classifier,
ISVC08(I: 935-944).
Springer DOI 0812
BibRef

Papa, J.P.[Joao P.], Cappabianco, F.A.M.[Fabio A.M.], Falcao, A.X.[Alexandre Xavier],
Optimizing Optimum-Path Forest Classification for Huge Datasets,
ICPR10(4162-4165).
IEEE DOI 1008
BibRef

Afonso, L.C.S.[Luis Claudio Sugi], Papa, J.P.[Joao Paulo], Papa, L., Marana, A., Rocha, A.[Anderson],
Automatic visual dictionary generation through Optimum-Path Forest clustering,
ICIP12(1897-1900).
IEEE DOI 1302
BibRef

Martins, G.B., Afonso, L.C.S., Osaku, D., Almeida, J.[Jurandy], Papa, J.P.,
Static Video Summarization through Optimum-Path Forest Clustering,
CIARP14(893-900).
Springer DOI 1411
BibRef

Papa, J.P.[Joao Paulo], Rocha, A.[Anderson],
Image categorization through optimum path forest and visual words,
ICIP11(3525-3528).
IEEE DOI 1201
BibRef

da Silva, A.T.[Andre Tavares], Falcao, A.X.[Alexandre Xavier], Magalhaes, L.P.[Leo Pini],
Active Learning Paradigms for CBIR Systems Based on Optimum-Path Forest Classification,
PR(44), No. 12, December 2011, pp. 2971-2978.
Elsevier DOI 1107
Content-based image retrieval; Relevance feedback; Optimum-path forest classifiers; Active learning; Image pattern analysis
See also Hierarchical Learning Using Deep Optimum-Path Forest. BibRef

Saito, P.T.M.[Priscila T.M.], Amorim, W.P.[Willian P.], Falcao, A.X.[Alexandre X.], de Rezende, P.J.[Pedro J.], Suzuki, C.T.N.[Celso T.N.], Gomes, J.F.[Jancarlo F.], de Carvalho, M.H.[Marcelo H.],
Active Semi-supervised Learning Using Optimum-Path Forest,
ICPR14(3798-3803)
IEEE DOI 1412
Accuracy BibRef

Castelo-Fernįndez, C.[César], de Rezende, P.J.[Pedro J.], Falcćo, A.X.[Alexandre X.], Papa, J.P.[Joćo Paulo],
Improving the Accuracy of the Optimum-Path Forest Supervised Classifier for Large Datasets,
CIARP10(467-475).
Springer DOI 1011
BibRef

Saito, P.T.M.[Priscila T.M.], Falcćo, A.X.[Alexandre X.], de Rezende, P.J.[Pedro J.],
DROP: A Data Reduction and Organization Paradigm and its Application in Image Analysis,
ELCVIA(14), No. 3, 2015, pp. xx-yy.
DOI Link 1601
Thesis summary. BibRef

Iwashita, A.S.[Adriana S.], Papa, J.P.[Joao P.], Souza, A.N., Falcćo, A.X.[Alexandre X.], Lotufo, R.A.[Roberto A.], de Araujo Oliveira, V.M.[Victor M.], de Albuquerque, V.H.C.[Victor Hugo C.], Tavares, J.M.R.S.[Joćo Manuel R.S.],
A path- and label-cost propagation approach to speedup the training of the optimum-path forest classifier,
PRL(40), No. 1, 2014, pp. 121-127.
Elsevier DOI 1403
BibRef
Earlier: A1, A2, A4, A5, A6, A7, A8, Only:
Speeding up optimum-path forest training by path-cost propagation,
ICPR12(1233-1236).
WWW Link. 1302
Machine learning BibRef

Culquicondor, A.[Aldo], Castelo-Fernįndez, C.[César], Papa, J.P.[Joćo Paulo],
A New Parallel Training Algorithm for Optimum-Path Forest-Based Learning,
CIARP16(192-199).
Springer DOI 1703
BibRef

Rosa, G.H.[Gustavo H.], Costa, K.A.P.[Kelton A.P.], Junior, L.A.P.[Leandro A.Passos], Papa, J.P.[Joao P.], Falcao, A.X.[Alexandre X.], Tavares, J.M.R.S.[Joao Manuel R.S.],
On the Training of Artificial Neural Networks with Radial Basis Function Using Optimum-Path Forest Clustering,
ICPR14(1472-1477)
IEEE DOI 1412
Equations BibRef

Papa, J.P.[Joćo P.], Falcćo, A.X.[Alexandre X.],
On the Training Patterns Pruning for Optimum-Path Forest,
CIAP09(259-268).
Springer DOI 0909
BibRef

Rocha, L.M.[Leonardo Marques], Cappabianco, F.A.M.[Fįbio A. M.], Falcćo, A.X.[Alexandre Xavier],
Data clustering as an optimum-path forest problem with applications in image analysis,
IJIST(19), No. 2, June 2009, pp. 50-68.
DOI Link 0905
BibRef

Falcćo, A.X.[Alexandre X.],
Design of Pattern Classifiers Using Optimum-Path Forest with Applications in Image Analysis,
CIARP10(2).
Springer DOI 1011
BibRef

Papa, J.P.[Joćo Paulo], Falcćo, A.X.[Alexandre Xavier],
A Learning Algorithm for the Optimum-Path Forest Classifier,
GbRPR09(195-204).
Springer DOI 0905
BibRef

da Silva, A.T.[André Tavares], dos Santos, J.A.[Jefersson Alex], Falcćo, A.X.[Alexandre Xavier], da Silva Torres, R.[Ricardo], Magalhćes, L.P.[Léo Pini],
Incorporating multiple distance spaces in optimum-path forest classification to improve feedback-based learning,
CVIU(116), No. 4, April 2012, pp. 510-523.
Elsevier DOI 1202
Content-based image retrieval; Optimum-path forest classifiers; Composite descriptor; Genetic programming; Multi-scale parameter search; Image pattern analysis BibRef

dos Santos, J.A.[Jefersson Alex], da Silva, A.T.[André Tavares], da Silva Torres, R.[Ricardo], Falcćo, A.X.[Alexandre Xavier], Magalhćes, L.P.[Léo P.], Lamparelli, R.A.C.[Rubens A. C.],
Interactive Classification of Remote Sensing Images by Using Optimum-Path Forest and Genetic Programming,
CAIP11(II: 300-307).
Springer DOI 1109
BibRef

dos Santos, J.A.[Jefersson Alex], Gosselin, P.H., Philipp-Foliguet, S., da Silva Torres, R.[Ricardo], Falcćo, A.X.[Alexandre Xavier],
Multiscale Classification of Remote Sensing Images,
GeoRS(50), No. 10, October 2012, pp. 3764-3775.
IEEE DOI 1210
BibRef

Pisani, R.J., Nakamura, R.Y.M., Riedel, P.S., Zimback, C.R.L., Falcao, A.X.[Alexandre Xavier], Papa, J.P.,
Toward Satellite-Based Land Cover Classification Through Optimum-Path Forest,
GeoRS(52), No. 10, October 2014, pp. 6075-6085.
IEEE DOI 1407
Earth BibRef

Osaku, D.[Daniel], Levada, A.L.M., Papa, J.P.,
On the Influence of Markovian Models for Contextual-Based Optimum-Path Forest Classification,
CIARP14(462-469).
Springer DOI 1411
BibRef

Osaku, D.[Daniel], Nakamura, R.[Rodrigo], Papa, J.P.[Joćo P.], Levada, A.L.M.[Alexandre L.M.], Cappabianco, F.[Fįbio],
Optimizing Contextual-Based Optimum-Forest Classification through Swarm Intelligence,
ACIVS13(203-214).
Springer DOI 1311
BibRef

Nakamura, R.[Rodrigo], Osaku, D.[Daniel],
OPF-MRF: Optimum-Path Forest and Markov Random Fields for Contextual-Based Image Classification,
CAIP13(II:233-240).
Springer DOI 1311
BibRef

Kanavati, F.[Fahdi], Tong, T.[Tong], Misawa, K.[Kazunari], Fujiwara, M.[Michitaka], Mori, K.[Kensaku], Rueckert, D.[Daniel], Glocker, B.[Ben],
Supervoxel Classification Forests for Estimating Pairwise Image Correspondences,
PR(63), No. 1, 2017, pp. 561-569.
Elsevier DOI 1612
BibRef
Earlier: MLMI15(94-101).
Springer DOI 1511
Random forests BibRef

Bostani, H.[Hamid], Sheikhan, M.[Mansour],
Modification of supervised OPF-based intrusion detection systems using unsupervised learning and social network concept,
PR(62), No. 1, 2017, pp. 56-72.
Elsevier DOI 1705
Optimum-path forest BibRef

Papa, J.P.[Joćo Paulo], Fernandes, S.E.N.[Silas Evandro Nachif], Falcćo, A.X.[Alexandre Xavier],
Optimum-Path Forest based on k-connectivity: Theory and applications,
PRL(87), No. 1, 2017, pp. 117-126.
Elsevier DOI 1703
Pattern classification BibRef


Afonso, L.C.S.[Luis C. S.], Pereira, D.R.[Danillo R.], Papa, J.P.[Joćo P.],
A Kernel-Based Optimum-Path Forest Classifier,
CIARP17(652-660).
Springer DOI 1802
BibRef

Fernandes, S.E.N.[Silas E. N.], Scheirer, W.[Walter], Cox, D.D.[David D.], Papa, J.P.[Joćo Paulo],
Improving Optimum-Path Forest Classification Using Confidence Measures,
CIARP15(619-625).
Springer DOI 1511
BibRef

Ponti, M.P.[Moacir P.], Papa, J.P.[Joćo Paulo], Levada, A.L.M.[Alexandre L. M.],
A Markov Random Field Model for Combining Optimum-Path Forest Classifiers Using Decision Graphs and Game Strategy Approach,
CIARP11(581-590).
Springer DOI 1111
BibRef

Osaku, D.[Daniel], Marana, A.N.[Aparecido Nilceu], Papa, J.P.[Joćo Paulo],
A Graph-Based Framework for Thermal Faceprint Characterization,
CIAP11(I: 169-177).
Springer DOI 1109
BibRef

Chiachia, G., Marana, A.N., Papa, J.P., Falcao, A.X.,
Infrared Face Recognition by Optimum-Path Forest,
WSSIP09(1-4).
IEEE DOI 0906
BibRef

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Linear Separable Classification .


Last update:Mar 16, 2024 at 20:36:19