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 "solving jigsaw puzzles by the graph connection laplacian"):
  Abstract: We propose a novel mathematical framework to address the problem of automatically solving large jigsaw puzzles. This problem assumes a large image which is cut into equal square pieces that are arbitrarily rotated and shifted and asks to recover the original image given the transformed pieces. The main contribution of this work is a theoretically-guaranteed method for recovering the unknown orientations of the puzzle pieces by using the graph connection Laplacian associated with the puzzle. Iterative application of this method and other methods for recovering the unknown shifts result in a solution for the large jigsaw puzzle problem. This solution is not greedy, unlike many other solutions. Numerical experiments demonstrate the competitive performance of the proposed method.

Includes members:
  Member "a generalized genetic algorithm based solver for very large jigsaw puzzles of complex types":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "domain generalization by solving jigsaw puzzles")
  Member "an automatic solver for very large jigsaw puzzles using genetic algorithms":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "grayscale based block scrambling image encryption for social networking services")
  Member "dnn buddies a deep neural network based estimation metric for the jigsaw puzzle problem":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a novel hybrid scheme using genetic algorithms and deep learning for the reconstruction of portuguese tile panels")
  Member "solving jigsaw puzzles with linear programming":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "security evaluation for block scrambling based image encryption including jpeg distortion against jigsaw puzzle solver attacks")
  Member "a global approach for solving edge matching puzzles":
    also connected through other hyperedges:
      (none)
  Member "genetic algorithm based solver for very large multiple jigsaw puzzles of unknown dimensions and piece orientation":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a novel hybrid scheme using genetic algorithms and deep learning for the reconstruction of portuguese tile panels")

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)