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 "visual speech recognition aligning terminologies for better understanding"):
  Abstract: We are at an exciting time for machine lipreading. Traditional research stemmed#R##N#from the adaptation of audio recognition systems. But now, the computer vision community#R##N#is also participating. This joining of two previously disparate areas with different#R##N#perspectives on computer lipreading is creating opportunities for collaborations, but in#R##N#doing so the literature is experiencing challenges in knowledge sharing due to multiple#R##N#uses of terms and phrases and the range of methods for scoring results.#R##N#In particular we highlight three areas with the intention to improve communication#R##N#between those researching lipreading; the effects of interchanging between speech reading#R##N#and lipreading; speaker dependence across train, validation, and test splits; and the#R##N#use of accuracy, correctness, errors, and varying units (phonemes, visemes, words, and#R##N#sentences) to measure system performance. We make recommendations as to how we#R##N#can be more consistent.

Includes members:
  Member "comparing phonemes and visemes with dnn based lipreading":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the speaker independent lipreading play off a survey of lipreading machines")
  Member "finding phonemes improving machine lip reading":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "understanding the visual speech signal")
  Member "speaker independent machine lip reading with speaker dependent viseme classifiers":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "algorithms that remember model inversion attacks and data protection law")
  Member "some observations on computer lip reading moving from the dream to the reality":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "phoneme to viseme mappings")
  Member "resolution limits on visual speech recognition":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "can we read speech beyond the lips rethinking roi selection for deep visual speech recognition")
  Member "visual gesture variability between talkers in continuous speech":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the speaker independent lipreading play off a survey of lipreading machines")
  Member "lip reading sentences in the wild":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "lipreading using temporal convolutional networks")

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)