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 "active user authentication for smartphones a challenge data set and benchmark results"):
  Abstract: In this paper, automated user verification techniques for smartphones are investigated. A unique non-commercial dataset, the University of Maryland Active Authentication Dataset 02 (UMDAA-02) for multi-modal user authentication research is introduced. This paper focuses on three sensors — front camera, touch sensor and location service while providing a general description for other modalities. Benchmark results for face detection, face verification, touch-based user identification and location-based next-place prediction are presented, which indicate that more robust methods fine-tuned to the mobile platform are needed to achieve satisfactory verification accuracy. The dataset will be made available to the research community for promoting additional research.

Includes members:
  Member "active authentication on mobile devices via stylometry application usage web browsing and gps location":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "actions speak louder than pass words passive authentication of smartphone users via deep temporal features")
  Member "deep feature based face detection on mobile devices":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "is your smartband smart enough to know who you are towards continuous physiological authentication in the wild")
  Member "face alignment by local deep descriptor regression":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "deep learning for face recognition a critical analysis")
  Member "partial face detection for continuous authentication":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "authentication and authorization for mobile iot devices using bio features recent advances and future trends")
  Member "unconstrained face verification using deep cnn features":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "person recognition in personal photo collections")
  Member "a deep pyramid deformable part model for face detection":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "facial emotions recognition using convolutional neural net")
  Member "learning human identity from motion patterns":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "fedloc federated learning framework for cooperative localization and location data processing")
  Member "learning face representation from scratch":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "deepfakes and beyond a survey of face manipulation and fake detection")

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)