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 "an extensive review on spectral imaging in biometric systems challenges and advancements"):
  Abstract: Spectral imaging has recently gained traction for face recognition in biometric systems. We investigate the merits of spectral imaging for face recognition and the current challenges that hamper the widespread deployment of spectral sensors for face recognition. The reliability of conventional face recognition systems operating in the visible range is compromised by illumination changes, pose variations and spoof attacks. Recent works have reaped the benefits of spectral imaging to counter these limitations in surveillance activities (defence, airport security checks, etc.). However, the implementation of this technology for biometrics, is still in its infancy due to multiple reasons. We present an overview of the existing work in the domain of spectral imaging for face recognition, different types of modalities and their assessment, availability of public databases for sake of reproducible research as well as evaluation of algorithms, and recent advancements in the field, such as, the use of deep learning-based methods for recognizing faces from spectral images.

Includes members:
  Member "a novel database of children s spontaneous facial expressions liris cse":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "handwritten optical character recognition ocr a comprehensive systematic literature review slr")
  Member "what do we understand about convolutional networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a novel database of children s spontaneous facial expressions liris cse")
  Member "deep cross polarimetric thermal to visible face recognition":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "polarimetric thermal to visible face verification via self attention guided synthesis")
  Member "learning deep models for face anti spoofing binary or auxiliary supervision":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "searching central difference convolutional networks for face anti spoofing")
  Member "deep perceptual mapping for cross modal face recognition":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "hi cmd hierarchical cross modality disentanglement for visible infrared person re identification")
  Member "image level classification in hyperspectral images using feature descriptors with application to face recognition":
    also connected through other hyperedges:
      (none)
  Member "not afraid of the dark nir vis face recognition via cross spectral hallucination and low rank embedding":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "effective domain knowledge transfer with soft fine tuning")
  Member "deep perceptual mapping for thermal to visible face recognition":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "relational deep feature learning for heterogeneous face 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)