Kuncheva, L.I.[Ludmila I.],
Bezdek, J.C.[James C.],
Duin, R.P.W.[Robert P.W.],
Decision templates for multiple classifier fusion:
An Experimental Comparison,
PR(34), No. 2, February 2001, pp. 299-314.
Elsevier DOI
0011
BibRef
Windridge, D.[David],
Kittler, J.V.[Josef V.],
A Morphologically Optimal Strategy for Classifier Combinaton:
Multiple Expert Fusion as a Tomographic Process,
PAMI(25), No. 3, March 2003, pp. 343-353.
IEEE DOI
0301
Interpret combination as th eimplicit reconstruction of the composite
probability density function.
BibRef
Wanas, N.M.[Nayer M.],
Dara, R.A.[Rozita A.],
Kamel, M.S.[Mohamed S.],
Adaptive fusion and co-operative training for classifier ensembles,
PR(39), No. 9, September 2006, pp. 1781-1794.
Elsevier DOI
0606
Decision fusion; Co-operative training; Combining architecture
BibRef
Bogdanov, A.V.,
Neuroinspired Architecture for Robust Classifier Fusion of Multisensor
Imagery,
GeoRS(46), No. 5, May 2008, pp. 1467-1487.
IEEE DOI
0804
BibRef
Toh, K.A.[Kar-Ann],
Kim, J.H.[Jai-Hie],
Lee, S.Y.[Sang-Youn],
Maximizing area under ROC curve for biometric scores fusion,
PR(41), No. 11, November 2008, pp. 3373-3392.
Elsevier DOI
0808
Receiver operating characteristics; Biometrics; Decision fusion;
Machine learning; Pattern classification
BibRef
Terrades, O.R.[Oriol Ramos],
Valveny, E.[Ernest],
Tabbone, S.A.[Salvatore A.],
Optimal Classifier Fusion in a Non-Bayesian Probabilistic Framework,
PAMI(31), No. 9, September 2009, pp. 1630-1644.
IEEE DOI
0907
BibRef
Guru, D.S.,
Suraj, M.G.,
Manjunath, S.,
Fusion of covariance matrices of PCA and FLD,
PRL(32), No. 3, 1 February 2011, pp. 432-440.
Elsevier DOI
1101
Classifier fusion; Appearance based approach; Covariance matrix; Data
clustering; Video retrieval
See also Archival and retrieval of symbolic images: An invariant scheme based on triangular spatial relationship.
BibRef
Yera, A.[Ainhoa],
Arbelaitz, O.[Olatz],
Jodra, J.L.[José L.],
Gurrutxaga, I.[Ibai],
Pérez, J.M.[Jesús M.],
Muguerza, J.[Javier],
Analysis of several decision fusion strategies for clustering
validation. Strategy definition, experiments and validation,
PRL(85), No. 1, 2017, pp. 42-48.
Elsevier DOI
1612
Cluster validity index
BibRef
Asman, A.J.,
Landman, B.A.,
Robust Statistical Label Fusion Through Consensus Level, Labeler
Accuracy, and Truth Estimation (COLLATE),
MedImg(30), No. 10, October 2011, pp. 1779-1794.
IEEE DOI
1110
BibRef
Audhkhasi, K.,
Narayanan, S.,
A Globally-Variant Locally-Constant Model for Fusion of Labels from
Multiple Diverse Experts without Using Reference Labels,
PAMI(35), No. 4, April 2013, pp. 769-783.
IEEE DOI
1303
Both computer and people.
BibRef
Wang, X.Z.[Xi-Zhao],
Wang, R.[Ran],
Feng, H.M.[Hui-Min],
Wang, H.C.[Hua-Chao],
A New Approach to Classifier Fusion Based on Upper Integral,
Cyber(44), No. 5, May 2014, pp. 620-635.
IEEE DOI
1405
fuzzy set theory
BibRef
Ammour, N.[Nassim],
Alajlan, N.[Naif],
A dynamic weights OWA fusion for ensemble clustering,
SIViP(9), No. 3, March 2015, pp. 727-734.
WWW Link.
1503
BibRef
Peng, Y.,
Zhou, X.,
Wang, D.Z.,
Patwa, I.,
Gong, D.,
Fang, C.V.,
Multimodal Ensemble Fusion for Disambiguation and Retrieval,
MultMedMag(23), No. 2, April 2016, pp. 42-52.
IEEE DOI
1605
Correlation
BibRef
Zhang, C.,
Sargent, I.,
Pan, X.,
Gardiner, A.,
Hare, J.,
Atkinson, P.M.,
VPRS-Based Regional Decision Fusion of CNN and MRF Classifications
for Very Fine Resolution Remotely Sensed Images,
GeoRS(56), No. 8, August 2018, pp. 4507-4521.
IEEE DOI
1808
convolution, feature extraction,
geophysical image processing, image classification,
uncertainty
BibRef
Du, X.X.[Xiao-Xiao],
Zare, A.[Alina],
Multiple Instance Choquet Integral Classifier Fusion and Regression
for Remote Sensing Applications,
GeoRS(57), No. 5, May 2019, pp. 2741-2753.
IEEE DOI
1905
crops, geophysical image processing, image classification,
image fusion, learning (artificial intelligence),
target detection
BibRef
Xu, J.[Jie],
Wang, W.[Wei],
Wang, H.Y.[Han-Yuan],
Guo, J.H.[Jin-Hong],
Multi-model ensemble with rich spatial information for object
detection,
PR(99), 2020, pp. 107098.
Elsevier DOI
1912
Ensemble learning, Object detection, Dilated convolution, Feature fusion
BibRef
Huang, A.P.[Ai-Ping],
Zhao, T.S.[Tie-Song],
Lin, C.W.[Chia-Wen],
Multi-View Data Fusion Oriented Clustering via Nuclear Norm
Minimization,
IP(29), 2020, pp. 9600-9613.
IEEE DOI
2011
Data integration, Minimization, Matrix decomposition, Optimization,
Task analysis, Clustering methods, Feature extraction,
nuclear norm
BibRef
Pournemat, A.[Ali],
Adibi, P.[Peyman],
Chanussot, J.[Jocelyn],
Semisupervised charting for spectral multimodal manifold learning and
alignment,
PR(111), 2021, pp. 107645.
Elsevier DOI
2012
Semi-supervised learning, Multimodal data, Functional map,
Manifold learning, Data fusion, Hyperspectral images
BibRef
Xu, C.J.[Cheng-Jun],
Zhu, G.B.[Guo-Bin],
Shu, J.Q.[Jing-Qian],
A Combination of Lie Group Machine Learning and Deep Learning for
Remote Sensing Scene Classification Using Multi-Layer Heterogeneous
Feature Extraction and Fusion,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link
2204
BibRef
Fan, X.S.[Xiang-Suo],
Yan, C.[Chuan],
Fan, J.L.[Jin-Long],
Wang, N.[Nayi],
Improved U-Net Remote Sensing Classification Algorithm Fusing
Attention and Multiscale Features,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Liang, X.Y.[Xin-Yan],
Qian, Y.H.[Yu-Hua],
Guo, Q.[Qian],
Cheng, H.H.[Hong-Hong],
Liang, J.[Jiye],
AF: An Association-Based Fusion Method for Multi-Modal Classification,
PAMI(44), No. 12, December 2022, pp. 9236-9254.
IEEE DOI
2212
Feature extraction, Task analysis, Frequency measurement, Videos,
Optimization, Deep learning, Data models, Multi-modal fusion,
association representation
BibRef
Zhang, X.[Xuan],
Xu, Y.T.[Yi-Tian],
Liu, X.[Xuhua],
Multiple instance learning from similarity-confidence bags,
PR(146), 2024, pp. 109984.
Elsevier DOI
2311
Multiple instance learning, Similarity-confidence, Empirical risk minimization
BibRef
Xu, N.[Nan],
Wang, J.Y.[Jun-Yan],
Tian, Y.[Yuan],
Zhang, R.[Ruike],
Mao, W.J.[Wen-Ji],
AnANet: Association and Alignment Network for Modeling Implicit
Relevance in Cross-Modal Correlation Classification,
MultMed(25), 2023, pp. 7867-7880.
IEEE DOI
2312
BibRef
Lin, Y.Q.[Yi-Qing],
Zhao, H.V.[H. Vicky],
Maximum Entropy Attack on Decision Fusion With Herding Behaviors,
SPLetters(31), 2024, pp. 2500-2504.
IEEE DOI
2410
Entropy, Sensors, Sensor fusion, Steady-state, Security, Resists,
Indexes, Adversarial signal processing, decision fusion problem,
maximum entropy attack
BibRef
Li, H.[Hulin],
Rethinking Features-Fused-Pyramid-Neck for Object Detection,
ECCV24(LXVII: 74-90).
Springer DOI
2412
Code:
WWW Link.
BibRef
Arefeen, M.A.[Md Adnan],
Nimi, S.T.[Sumaiya Tabassum],
Uddin, M.Y.S.[Md Yusuf Sarwar],
Li, Z.[Zhu],
A Lightweight Relu-Based Feature Fusion for Aerial Scene
Classification,
ICIP21(3857-3861)
IEEE DOI
2201
Training, Support vector machines, Dimensionality reduction,
Image coding, Fuses, Transfer learning, Pipelines, Layer selection,
Image classification
BibRef
Ge, W.,
Yang, S.,
Yu, Y.,
Multi-evidence Filtering and Fusion for Multi-label Classification,
Object Detection and Semantic Segmentation Based on Weakly Supervised
Learning,
CVPR18(1277-1286)
IEEE DOI
1812
Training, Heating systems, Object detection, Semantics,
Image segmentation, Pipelines, Labeling
BibRef
Goswami, G.,
Ratha, N.,
Singh, R.,
Vatsa, M.,
Improving classifier fusion via Pool Adjacent Violators normalization,
ICPR16(1011-1016)
IEEE DOI
1705
Algorithm design and analysis, Biological system modeling,
Biometrics (access control), Calibration, Clustering algorithms,
Receivers, Robustness
BibRef
Jhuo, I.H.,
Weng, L.,
Cheng, W.H.,
Lee, D.T.,
A feature fusion framework for hashing,
ICPR16(2288-2293)
IEEE DOI
1705
Approximation algorithms, Feature extraction, Measurement,
Multimedia communication, Multimedia databases, Robustness
BibRef
López-Caloca, A.A.[Alejandra A.],
Data Fusion Approach for Employing Multiple Classifiers to Improve Lake
Shoreline Analysis,
CASI14(1022-1029).
Springer DOI
1411
BibRef
Ma, T.Y.[Tian-Yang],
Oh, S.[Sangmin],
Perera, A.,
Latecki, L.J.,
Learning Non-linear Calibration for Score Fusion with Applications to
Image and Video Classification,
LSVSM13(323-330)
IEEE DOI
1403
calibration
BibRef
Mahmoudi, F.T.[F. Tabib],
Samadzadegan, F.,
Reinartz, P.,
A Decision Level Fusion Method for Object Recognition Using
Multi-Angular Imagery,
SMPR13(409-414).
DOI Link
1311
BibRef
Armano, G.[Giuliano],
Hatami, N.[Nima],
Random Prototype-based Oracle for Selection-fusion Ensembles,
ICPR10(77-80).
IEEE DOI
1008
BibRef
Valdovinos, R.M.[Rosa M.],
Salvador-Sánchez, J.,
Barandela, R.[Ricardo],
Dynamic and Static Weighting in Classifier Fusion,
IbPRIA05(II:59).
Springer DOI
0509
BibRef
Reiter, S.,
Rigoll, G.,
Segmentation and classification of meeting events using multiple
classifier fusion and dynamic programming,
ICPR04(III: 434-437).
IEEE DOI
0409
BibRef
Jaeger, S.,
Informational classifier fusion,
ICPR04(I: 216-219).
IEEE DOI
0409
BibRef
Dmitry, V.,
Dmitry, K.,
Data dependent classifer fusion for construction of stable effective
algorithms,
ICPR04(I: 144-147).
IEEE DOI
0409
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Voting for Combinations, Classifiers .