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 "robust rotation synchronization via low rank and sparse matrix decomposition"):
  Abstract: This paper deals with the rotation synchronization problem, which arises in global registration of 3D point-sets and in structure from motion. The problem is formulated in an unprecedented way as a \low-rank and sparse" matrix decomposition that handles both outliers and missing data. A minimization strategy, dubbed R-GoDec, is also proposed and evaluated experimentally against state-of-the-art algorithms on simulated and real data. The results show that R-GoDec is the fastest among the robust algorithms.

Includes members:
  Member "a survey of structure from motion":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "robust attentional aggregation of deep feature sets for multi view 3d reconstruction")
  Member "shapefit and shapekick for robust scalable structure from motion":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "algebraic characterization of essential matrices and their averaging in multiview settings")
  Member "spectral synchronization of multiple views in se 3":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "learning multiview 3d point cloud registration")
  Member "on computing the translations norm in the epipolar graph":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "robust sfm with little image overlap")
  Member "practical matrix completion and corruption recovery using proximal alternating robust subspace minimization":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a benchmark and evaluation of non rigid structure from motion")
  Member "a solution for multi alignment by transformation synchronisation":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "learning multiview 3d point cloud registration")
  Member "cramer rao bounds for synchronization of rotations":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "on the distribution of minima in intrinsic metric rotation averaging")
  Member "robust camera location estimation by convex programming":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "learning transformation synchronization")

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)