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TPAMI (IEEE Transactions on Pattern Analysis and Machine Intelligence)

  • Raymond C., Chen Q., Xue B. and Zhang M. (2023). Learning symbolic model-agnostic loss functions via meta-learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. [ www ] ( GP )

Yu, H., Wu, S., and Dauwels, J. (2023). Efficient variational bayes learning of graphical models with smooth structural changes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(1), 475–488. [ www ] (SA)

Zhang, Y., Yao, Q., and Kwok, J. T. (2023). Bilinear scoring function search for knowledge graph learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(2), 1458–1473. [ www ] (EA)

Li, Y., Dong, M., Wang, Y., and Xu, C. (2023). Neural architecture search via proxy validation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(6), 7595–7610. [ www ] (EA)

Wei, X., Guo, Y., and Yu, J. (2023). Adversarial sticker: A stealthy attack method in the physical world. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(3), 2711–2725. [ www ] (DE)

2022

Chen, X., and Wujek, B. (2022). A unified framework for automatic distributed active learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(12), 9774–9786. [www] (GA)

2021

Zheng, X., Zhang, Y., Hong, S., Li, H., Tang, L., Xiong, Y., Zhou, J., Wang, Y., Sun, X., Zhu, P., Wu, C., and Ji, R. (2021). Evolving fully automated machine learning via life-long knowledge anchors. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(9), 3091–3107. [www] (EA)

Celik, B., and Vanschoren, J. (2021). Adaptation strategies for automated machine learning on evolving data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(9), 3067–3078. [www] (GP)

Barman, A., and Shah, S. K. (2021). A graph-based approach for making consensus-based decisions in image search and person re-identification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(3), 753–765. [www] (ACO)

Lu, Z., Sreekumar, G., Goodman, E., Banzhaf, W., Deb, K. and Boddeti, V.N., 2021. Neural architecture transfer. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(9), pp.2971-2989. [ www ] (EA)

2020

  • Ye, Q., Amini, A.A. and Zhou, Q., 2020. Optimizing regularized cholesky score for order-based learning of bayesian networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(10), pp.3555-3572. [ www ] ( SA )

  • Sheng, L., Cai, J., Cham, T.J., Pavlovic, V. and Ngan, K.N., 2019. Visibility constrained generative model for depth-based 3D facial pose tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(8), pp.1994-2007. [ www ] ( PSO | Continuous Optimization )

  • Pham, T.H., Kyriazis, N., Argyros, A.A. and Kheddar, A., 2018. Hand-object contact force estimation from markerless visual tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(12), pp.2883-2896. [ www ] ( PSO | Continuous Optimization )

  • Taneja, A., Ballan, L. and Pollefeys, M., 2015. Geometric change detection in urban environments using images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(11), pp.2193-2206. [ www ] ( PSO | Continuous Optimization )

  • Attanasi, A., Cavagna, A., Del Castello, L., Giardina, I., Jelić, A., Melillo, S., Parisi, L., Pellacini, F., Shen, E., Silvestri, E. and Viale, M., 2015. GReTA-A novel global and recursive tracking algorithm in three dimensions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(12), pp.2451-2463. [ www ] ( SI )

  • Li, Y.H. and Savvides, M., 2013. An automatic iris occlusion estimation method based on high-dimensional density estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(4), pp.784-796. [ www] ( SA )

  • Zou, D. and Tan, P., 2012. Coslam: Collaborative visual slam in dynamic environments. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(2), pp.354-366. [ www ] ( SI )

  • Sun, Y. and Bhanu, B., 2011. Reflection symmetry-integrated image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(9), pp.1827-1841.

  • Geman, S. and Geman, D., 1984. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 6(6), pp.721-741. [ www ] ( SA | Convergence Analysis )

2019

Tang, D., Ye, Q., Yuan, S., Taylor, J., Kohli, P., Keskin, C., Kim, T.K. and Shotton, J., 2019. Opening the black box: Hierarchical sampling optimization for hand pose estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(9), pp.2161-2175. [ www ]

Jauer, P., Kuhlemann, I., Bruder, R., Schweikard, A. and Ernst, F., 2019. Efficient registration of high-resolution feature enhanced point clouds. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(5), pp.1102-1115. [ www ] (SA)

2017

Emambakhsh, M., and Evans, A. (2017). Nasal patches and curves for expression-robust 3D face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(5), 995–1007. [www] (GA)

2016

Kolesov, I., Lee, J., Sharp, G., Vela, P. and Tannenbaum, A., 2016. A stochastic approach to diffeomorphic point set registration with landmark constraints. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(2), pp.238-251. [ www ] (SA)

2011

Passalis, G., Perakis, P., Theoharis, T. and Kakadiaris, I.A., 2011. Using facial symmetry to handle pose variations in real-world 3D face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(10), pp.1938-1951. [ www ] (SA)

Li, H., Shen, T., and Huang, X. (2011). Approximately global optimization for robust alignment of generalized shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(6), 1116–1131. [www] (PSO)

2010

Queirolo, C. C., Silva, L., Bellon, O. R. P., and Segundo, M. P. (2010). 3D face recognition using simulated annealing and the surface interpenetration measure. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(2), 206–219. [ www ] (SA)

2007

Kakadiaris, I.A., Passalis, G., Toderici, G., Murtuza, M.N., Lu, Y., Karampatziakis, N. and Theoharis, T., 2007. Three-dimensional face recognition in the presence of facial expressions: An annotated deformable model approach. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(4), pp.640-649. [ www ] (SA)

2006

Laszlo, M., and Mukherjee, S. (2006). A genetic algorithm using hyper-quadtrees for low-dimensional k-means clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(4), 533–543. [ www ] (GA)

2005

Silva, L., Bellon, O.R.P. and Boyer, K.L., 2005. Precision range image registration using a robust surface interpenetration measure and enhanced genetic algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(5), pp.762-776. [ www ] (Comparison: Parallel/Distributed MA)

Pernkopf, F. and Bouchaffra, D., 2005. Genetic-based EM algorithm for learning Gaussian mixture models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(8), pp.1344-1348. [ www ]

Lucas, S.M. and Reynolds, T.J., 2005. Learning deterministic finite automata with a smart state labeling evolutionary algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(7), pp.1063-1074. [ www ]

2004

Oh, I.S., Lee, J.S. and Moon, B.R., 2004. Hybrid genetic algorithms for feature selection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(11), pp.1424-1437. [ www ]

2002

Papaioannou, G., Karabassi, E.A. and Theoharis, T., 2002. Reconstruction of three-dimensional objects through matching of their parts. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(1), pp.114-124. [ www ] (SA)

Lu, Z., Chi, Z., and Siu, W.-C. (2002). Extraction and optimization of b-spline PBD templates for recognition of connected handwritten digit strings. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(1), 132–139. [www] (EA)

2001

Jones, E., Runkle, P., Dasgupta, N., Couchman, L., and Carin, L. (2001). Genetic algorithm wavelet design for signal classification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(8), 890–895. [ www ] (GA)

Jiang, X., Munger, A., and Bunke, H. (2001). An median graphs: Properties, algorithms, and applications. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(10), 1144–1151. [www] (GA)

2000

Pittman, J., and Murthy, C. A. (2000). Fitting optimal piecewise linear functions using genetic algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(7), 701–718. [ www ] (GA)

Mignotte, M., Collet, C., Perez, P., and Bouthemy, P. (2000). Hybrid genetic optimization and statistical model based approach for the classification of shadow shapes in sonar imagery. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(2), 129–141. [ www ] (GA)

Liu, C., and Wechsler, H. (2000). Evolutionary pursuit and its application to face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(6), 570–582. [ www ] (GA)

Kim, D., and Bang, S.-Y. (2000). A handwritten numeral character classification using tolerant rough set. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(9), 923–937. [www] (GA)

1999

Wong, M. L., Lam, W., and Leung, K. S. (1999). Using evolutionary programming and minimum description length principle for data mining of bayesian networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 21(2), 174–178. [ www ] (EP)

1998

Anelli, G., Broggi, A., and Destri, G. (1998). Decomposition of arbitrarily shaped binary morphological structuring elements using genetic algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(2), 217–224. [ www ] (GA)

1996

Larranaga, P., Poza, M., Yurramendi, Y., Murga, R. H., and Kuijpers, C. M. H. (1996). Structure learning of bayesian networks by genetic algorithms: A performance analysis of control parameters. IEEE Trans. Pattern Anal. Mach. Intell., 18(9), 912–926. [ www ] (GA)

Neri, F., and Saitta, L. (1996). Exploring the power of genetic search in learning symbolic classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(11), 1135–1141. [ www ] (GA)

Lee, S.-W. (1996). Off-line recognition of totally unconstrained handwritten numerals using multilayer cluster neural network. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(6), 648–652. [www] (GA)

1995

Huang, Y., Palaniappan, K., Zhuang, X., and Cavanaugh, J. E. (1995). Optic flow field segmentation and motion estimation using a robust genetic partitioning algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(12), 1177–1190. [www] (GA)

1994

Roth, G., and Levine, M. D. (1994). Geometric primitive extraction using a genetic algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16(9), 901–905. [ www ] (GA)

Katz, A. J., and Thrift, P. R. (1994). Generating image filters for target recognition by genetic learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16(9), 906–910. [ www ] (GA)

Granville, V., Krivanek, M., and Rasson, J.-P. (1994). Simulated annealing: A proof of convergence. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16(6), 652–656. [ www ] (SA)

Storvik, G. (1994). A bayesian approach to dynamic contours through stochastic sampling and simulated annealing. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16(10), 976–986. [ www ] (SA)

Yu, X., Bui, T. D., and Krzyzak, A. (1994). Robust estimation for range image segmentation and reconstruction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16(5), 530–538. [www] (GA)

1992

Tan, H. L., Gelfand, S. B., and Delp, E. J. (1992). A cost minimization approach to edge detection using simulated annealing. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(1), 3–18. [ www ] (SA)

1989

Lakshmanan, S., and Derin, H. (1989). Simultaneous parameter estimation and segmentation of gibbs random fields using simulated annealing. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(8), 799–813. [ www ] (SA)