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 "combined haar hilbert and log gabor based iris encoders"):
  Abstract: This chapter shows that combining Haar-Hilbert and Log-Gabor improves iris recognition performance leading to a less ambiguous biometric decision landscape in which the overlap between the experimental intra- and interclass score distributions diminishes or even vanishes. Haar-Hilbert, Log-Gabor and combined Haar-Hilbert and Log-Gabor encoders are tested here both for single and dual iris approach. The experimental results confirm that the best performance is obtained for the dual iris approach when the iris code is generated using the combined Haar-Hilbert and Log-Gabor encoder, and when the matching score fuses the information from both Haar-Hilbert and Log-Gabor channels of the combined encoder.

Includes members:
  Member "8 valent fuzzy logic for iris recognition and biometry":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "examples of artificial perceptions in optical character recognition and iris recognition")
  Member "iris codes classification using discriminant and witness directions":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "relevant features for gender classification in nir periocular images")
  Member "exploratory simulation of an intelligent iris verifier distributed system":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "iris codes classification using discriminant and witness directions")
  Member "from cognitive binary logic to cognitive intelligent agents":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "sensitive ants for denial jamming attack on wireless sensor network")
  Member "comparing haar hilbert and log gabor based iris encoders on bath iris image database":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "the biometric menagerie a fuzzy and inconsistent concept")
  Member "exploring new directions in iris recognition":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the biometric menagerie a fuzzy and inconsistent concept")

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)