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 "offline writer identification based on the path signature feature"):
  Abstract: In this paper, we propose a novel set of features for offline writer identification based on the path signature approach, which provides a principled way to express information contained in a path. By extracting local pathlets from handwriting contours, the path signature can also characterize the offline handwriting style. A codebook method based on the log path signature---a more compact way to express the path signature---is used in this work and shows competitive results on several benchmark offline writer identification datasets, namely the IAM, Firemaker, CVL and ICDAR2013 writer identification contest dataset.

Includes members:
  Member "deep adaptive learning for writer identification based on single handwritten word images":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "fragnet writer identification using deep fragment networks")
  Member "toward high performance online hccr":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "fingertip detection and tracking for recognition of air writing in videos")
  Member "developing the path signature methodology and its application to landmark based human action recognition":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "learning stochastic differential equations using rnn with log signature features")
  Member "leveraging the path signature for skeleton based human action recognition":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "learning stochastic differential equations using rnn with log signature features")
  Member "learning spatial semantic context with fully convolutional recurrent network for online handwritten chinese text recognition":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "aggregation cross entropy for sequence recognition")
  Member "sparse radial sampling lbp for writer identification":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "deep adaptive learning for writer identification based on single handwritten word images")
  Member "deepwriterid an end to end online text independent writer identification system":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "signatory differentiable computations of the signature and logsignature transforms on both cpu and gpu")
  Member "rotation invariants of two dimensional curves based on iterated integrals":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "developing the path signature methodology and its application to landmark based human action recognition")

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)