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A New Constrained Parameter Estimator: Experiments in Fundamental Matrix Computation.

, , , and . BMVC, page 1-9. British Machine Vision Association, (2002)

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Worst-Case Linear Discriminant Analysis as Scalable Semidefinite Feasibility Problems., , , and . CoRR, (2014)Incorporating constraints into the design of locally identifiable calibration patterns., , and . ICIP (1), page 817-820. IEEE, (2003)Exploring Context with Deep Structured Models for Semantic Segmentation., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 40 (6): 1352-1366 (2018)Fast Training of Effective Multi-class Boosting Using Coordinate Descent Optimization, , , and . Computer Vision -- ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part II, page 782--795. Berlin, Heidelberg, Springer Berlin Heidelberg, (2013)Fast approximate L∞ minimization: Speeding up robust regression., , , , and . Comput. Stat. Data Anal., (2014)Towards Effective Deep Embedding for Zero-Shot Learning., , , , , , and . IEEE Trans. Circuits Syst. Video Technol., 30 (9): 2843-2852 (2020)Toward a Digital Ecosystem: International Symposium on Ubiquitous Virtual Reality 2010., , , , , and . IEEE Pervasive Comput., 10 (2): 90-93 (2011)Deep Single Image Deraining via Modeling Haze-Like Effect., , , , , , and . IEEE Trans. Multim., (2021)Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation., , , and . CVPR, page 3194-3203. IEEE Computer Society, (2016)Hashing on Nonlinear Manifolds., , , , , and . CoRR, (2014)