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: "double sided probing by map of asplund s distances using logarithmic image processing in the framework of mathematical morphology"
  Abstract: We establish the link between Mathematical Morphology and the map of Asplund's distances between a probe and a grey scale function, using the Logarithmic Image Processing scalar multiplication. We demonstrate that the map is the logarithm of the ratio between a dilation and an erosion of the function by a structuring function: the probe. The dilations and erosions are mappings from the lattice of the images into the lattice of the positive functions. Using a flat structuring element, the expression of the map of Asplund's distances can be simplified with a dilation and an erosion of the image; these mappings stays in the lattice of the images. We illustrate our approach by an example of pattern matching with a non-flat structuring function.

Connected through hyperedge HE-1 (induced by source paper "region homogeneity in the logarithmic image processing framework application to region growing algorithms"):
  with members:
    - "homogeneity of a region in the logarithmic image processing framework application to region growing algorithms"
    - "superimposition of eye fundus images for longitudinal analysis from large public health databases"
    - "improving shadow suppression for illumination robust face recognition"
    - "spatio colour asplund s metric and logarithmic image processing for colour images lipc"
    - "yfcc100m the new data in multimedia research"

Connected through hyperedge HE-2 (induced by source paper "a link between the multiplicative and additive functional asplund s metrics"):
  with members:
    - "a simple expression for the map of asplund s distances with the multiplicative logarithmic image processing lip law"
    - "superimposition of eye fundus images for longitudinal analysis from large public health databases"
    - "yfcc100m the new data in multimedia research"

Connected through hyperedge HE-3 (induced by source paper "functional asplund s metrics for pattern matching robust to variable lighting conditions"):
  with members:
    - "logarithmic mathematical morphology a new framework adaptive to illumination changes"
    - "superimposition of eye fundus images for longitudinal analysis from large public health databases"
    - "spatio colour asplund s metric and logarithmic image processing for colour images lipc"
    - "yfcc100m the new data in multimedia research"

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)