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: "cyborg systems as platforms for computer vision algorithm development for astrobiology"
  Abstract: Employing the allegorical imagery from the film "The Matrix", we motivate and discuss our `Cyborg Astrobiologist' research program. In this research program, we are using a wearable computer and video camcorder in order to test and train a computer-vision system to be a field-geologist and field-astrobiologist.

Connected through hyperedge HE-1 (induced by source paper "the cyborg astrobiologist testing a novelty detection algorithm on two mobile exploration systems at rivas vaciamadrid in spain and at the mars desert research station in utah"):
  with members:
    - "the cyborg astrobiologist porting from a wearable computer to the astrobiology phone cam"
    - "the cyborg astrobiologist scouting red beds for uncommon features with geological significance"
    - "the cyborg astrobiologist first field experience"
    - "multi modal human machine communication for instructing robot grasping tasks"

Connected through hyperedge HE-2 (induced by source paper "field geology with a wearable computer 1st results of the cyborg astrobiologist system"):
  with members:
    - "the cyborg astrobiologist scouting red beds for uncommon features with geological significance"

Connected through hyperedge HE-3 (induced by source paper "the cyborg astrobiologist scouting red beds for uncommon features with geological significance"):
  with members:
    - "the cyborg astrobiologist first field experience"

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)