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 "fast bilateral filtering of vector valued images"):
  Abstract: In this paper, we consider a natural extension of the edge-preserving bilateral filter for vector-valued images. The direct computation of this non-linear filter is slow in practice. We demonstrate how a fast algorithm can be obtained by first approximating the Gaussian kernel of the bilateral filter using raised-cosines, and then using Monte Carlo sampling. We present simulation results on color images to demonstrate the accuracy of the algorithm and the speedup over the direct implementation.

Includes members:
  Member "on fast bilateral filtering using fourier kernels":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "fast high dimensional kernel filtering")
  Member "fast and provably accurate bilateral filtering":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "fast high dimensional kernel filtering")
  Member "acceleration of the shiftable mbi o 1 algorithm for bilateral filtering and nonlocal means":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "fast high dimensional bilateral and nonlocal means filtering")
  Member "constant time filtering using shiftable kernels":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "on fast bilateral filtering using fourier kernels")
  Member "fast o 1 bilateral filtering using trigonometric range kernels":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "fast high dimensional kernel filtering")

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)