human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "comparing haar hilbert and log gabor based iris encoders on bath iris image database"
  Abstract: This papers introduces a new family of iris encoders which use 2-dimensional Haar Wavelet Transform for noise attenuation, and Hilbert Transform to encode the iris texture. In order to prove the usefulness of the newly proposed iris encoding approach, the recognition results obtained by using these new encoders are compared to those obtained using the classical Log-Gabor iris encoder. Twelve tests involving single/multienrollment and conducted on Bath Iris Image Database are presented here. One of these tests achieves an Equal Error Rate comparable to the lowest value reported so far for this database. New Matlab tools for iris image processing are also released together with this paper: a second version of the Circular Fuzzy Iris Segmentator (CFIS2), a fast Log-Gabor encoder and two Haar-Hilbert based encoders.

Connected through hyperedge HE-1 (induced by source paper "combined haar hilbert and log gabor based iris encoders"):
  with members:
    - "8 valent fuzzy logic for iris recognition and biometry"
    - "iris codes classification using discriminant and witness directions"
    - "exploratory simulation of an intelligent iris verifier distributed system"
    - "from cognitive binary logic to cognitive intelligent agents"
    - "exploring new directions in iris recognition"

Connected through hyperedge HE-2 (induced by source paper "the biometric menagerie a fuzzy and inconsistent concept"):
  with members:
    - "combined haar hilbert and log gabor based iris encoders"
    - "8 valent fuzzy logic for iris recognition and biometry"
    - "iris codes classification using discriminant and witness directions"
    - "exploring new directions in iris recognition"

Connected through hyperedge HE-3 (induced by source paper "noise influence on the fuzzy linguistic partitioning of iris code space"):
  with members:
    - "combined haar hilbert and log gabor based iris encoders"
    - "8 valent fuzzy logic for iris recognition and biometry"
    - "iris codes classification using discriminant and witness directions"
    - "exploring new directions in iris recognition"

Connected through hyperedge HE-4 (induced by source paper "iris codes classification using discriminant and witness directions"):
  with members:
    - "8 valent fuzzy logic for iris recognition and biometry"
    - "exploratory simulation of an intelligent iris verifier distributed system"

Connected through hyperedge HE-5 (induced by source paper "8 valent fuzzy logic for iris recognition and biometry"):
  with members:
    - "exploratory simulation of an intelligent iris verifier distributed system"

Connected through hyperedge HE-6 (induced by source paper "exploratory simulation of an intelligent iris verifier distributed system"):
  with members:
    - "from cognitive binary logic to cognitive intelligent agents"

Question: Please tell me which class the center node 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)