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 "cortical inspired wilson cowan type equations for orientation dependent contrast perception modelling"):
  Abstract: We consider the evolution model proposed in [9, 6] to describe illusory contrast perception phenomena induced by surrounding orientations. Firstly, we highlight its analogies and differences with widely used Wilson-Cowan equations [48], mainly in terms of efficient representation properties. Then, in order to explicitly encode local directional information, we exploit the model of the primary visual cortex V1 proposed in [20] and largely used over the last years for several image processing problems [24, 38, 28]. The resulting model is capable to describe assimilation and contrast visual bias at the same time, the main novelty being its explicit dependence on local image orientation. We report several numerical tests showing the ability of the model to explain, in particular, orientation-dependent phenomena such as grating induction and a modified version of the Poggendorff illusion. For this latter example, we empirically show the existence of a set of threshold parameters differentiating from inpainting to perception-type reconstructions, describing long-range connectivity between different hypercolumns in the primary visual cortex.

Includes members:
  Member "highly corrupted image inpainting through hypoelliptic diffusion":
    also connected through other hyperedges:
      (none)
  Member "a cortical inspired model for orientation dependent contrast perception a link with wilson cowan equations":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "pde based group equivariant convolutional neural networks")
  Member "fourier descriptors based on the structure of the human primary visual cortex with applications to object recognition":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a new geodesic based feature for characterization of 3d shapes application to soft tissue organ temporal deformations")
  Member "a semidiscrete version of the citti petitot sarti model as a plausible model for anthropomorphic image reconstruction and pattern recognition":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a cortical inspired model for orientation dependent contrast perception a link with wilson cowan equations")
  Member "a multi orientation analysis approach to retinal vessel tracking":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "trajectory grouping with curvature regularization for tubular structure tracking")
  Member "the constitution of visual perceptual units in the functional architecture of v1":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "kercnns biologically inspired lateral connections for classification of corrupted images")

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)