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: "the cyborg astrobiologist porting from a wearable computer to the astrobiology phone cam"
  Abstract: We have used a simple camera phone to significantly improve an 'exploration system' for astrobiology and geology. This camera phone will make it much easier to develop and test computer-vision algorithms for future planetary exploration. We envision that the 'Astrobiology Phone-cam' exploration system can be fruitfully used in other problem domains as well.

Connected through hyperedge HE-1 (induced by source paper "the cyborg astrobiologist matching of prior textures by image compression for geological mapping and novelty detection"):
  with members:
    - "lightweight lempel ziv parsing"
    - "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"
    - "the cyborg astrobiologist scouting red beds for uncommon features with geological significance"
    - "the cyborg astrobiologist first field experience"

Connected through hyperedge HE-2 (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 scouting red beds for uncommon features with geological significance"
    - "the cyborg astrobiologist first field experience"
    - "cyborg systems as platforms for computer vision algorithm development for astrobiology"
    - "multi modal human machine communication for instructing robot grasping tasks"

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)