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A Relationship between Spline-Based Deformable Models and Weighted Graphs in Non-Rigid Matching.

, , and . CVPR (1), page 897-904. IEEE Computer Society, (2001)

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Algebraic Transformations of Objective Functions, and . YALEU/DCS/RR-686. Department of Computer Science, Yale University, New Haven, CT, (1989)Recursively Generated Neural Networks, , and . Proceedings of the IEEE First International Conference on Neural Networks (San Diego, CA), Piscataway, NJ: IEEE, (1987)Deep Learning Moment Closure Approximations using Dynamic Boltzmann Distributions., , , and . CoRR, (2019)Quantitative Symbolic Process Models: How a Fair Fraction of Intelligence Could Be Abstracted in AI Research.. AAAI Fall Symposia, AAAI Press, (2013)A New Distance Measure for Non-rigid Image Matching., , and . EMMCVPR, volume 1654 of Lecture Notes in Computer Science, page 237-252. Springer, (1999)A Convergence Proof for the Softassign Quadratic Assignment Algorithm., , , and . NIPS, page 620-626. MIT Press, (1996)Application of a Generalized MWC Model for the Mathematical Simulation of Metabolic Pathways Regulated by Allosteric Enzymes., , , , and . CSB, page 279-288. IEEE Computer Society, (2005)A Robust Point Matching Algorithm for Autoradiograph Alignment., , , , , and . VBC, volume 1131 of Lecture Notes in Computer Science, page 277-286. Springer, (1996)Fast and Globally Convergent Pose Estimation from Video Images., , and . IEEE Trans. Pattern Anal. Mach. Intell., 22 (6): 610-622 (2000)Clustering analysis of microarray gene expression data by splitting algorithm., , , , and . J. Parallel Distributed Comput., 63 (7-8): 692-706 (2003)