human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "trajectory grouping with curvature regularization for tubular structure tracking"):
  Abstract: Tubular structure tracking is an important and difficult problem in the fields of computer vision and medical image analysis. The minimal path models have exhibited its power in tracing tubular structures, by which a centerline can be naturally treated as a minimal path with a suitable geodesic metric. However, existing minimal path-based tubular structure tracing models still suffer from difficulty like the shortcuts and short branches combination problems, especially when dealing with the images with a complicated background. We introduce a new minima path-based model for minimally interactive tubular structure centerline extraction in conjunction with a perceptual grouping scheme. We take into account the prescribed tubular trajectories and the relevant curvature-penalized geodesic distances for minimal paths extraction in a graph-based optimization way. Experimental results on both synthetic and real images prove that the proposed model indeed obtains outperformance comparing to state-of-the-art minimal path-based tubular structure tracing algorithms.

Includes members:
  Member "minimal paths for tubular structure segmentation with coherence penalty and adaptive anisotropy":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "eikonal region based active contours for image segmentation")
  Member "global minimum for a finsler elastica minimal path approach":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "fractional wavelet scattering network and applications")
  Member "vtrails inferring vessels with geodesic connectivity trees":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "minimal paths for tubular structure segmentation with coherence penalty and adaptive anisotropy")
  Member "a multi orientation analysis approach to retinal vessel tracking":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "cortical inspired wilson cowan type equations for orientation dependent contrast perception modelling")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.CV(Computer Vision and Pattern Recognition)