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: "dct like transform for image compression requires 14 additions only"
  Abstract: A low-complexity 8-point orthogonal approximate discrete cosine transform (DCT) is introduced. The proposed transform requires no multiplications or bit-shift operations. The derived fast algorithm requires only 14 additions, less than any existing DCT approximation. Moreover, in several image compression scenarios, the proposed transform could outperform the well-known signed DCT, as well as state-of-the-art algorithms.

Connected through hyperedge HE-1 (induced by source paper "multiplierless 16 point dct approximation for low complexity image and video coding"):
  with members:
    - "an orthogonal 16 point approximate dct for image and video compression"
    - "improved 8 point approximate dct for image and video compression requiring only 14 additions"
    - "a digital hardware fast algorithm and fpga based prototype for a novel 16 point approximate dct for image compression applications"
    - "a dct approximation for image compression"

Connected through hyperedge HE-2 (induced by source paper "low complexity image and video coding based on an approximate discrete tchebichef transform"):
  with members:
    - "multiplierless approximate 4 point dct vlsi architectures for transform block coding"
    - "a dct approximation for image compression"

Connected through hyperedge HE-3 (induced by source paper "an orthogonal 16 point approximate dct for image and video compression"):
  with members:
    - "improved 8 point approximate dct for image and video compression requiring only 14 additions"
    - "a digital hardware fast algorithm and fpga based prototype for a novel 16 point approximate dct for image compression applications"
    - "a dct approximation for image compression"

Connected through hyperedge HE-4 (induced by source paper "a multiplierless pruned dct like transformation for image and video compression that requires ten additions only"):
  with members:
    - "improved 8 point approximate dct for image and video compression requiring only 14 additions"
    - "multiplierless approximate 4 point dct vlsi architectures for transform block coding"
    - "a dct approximation for image compression"

Connected through hyperedge HE-5 (induced by source paper "energy efficient 8 point dct approximations theory and hardware architectures"):
  with members:
    - "improved 8 point approximate dct for image and video compression requiring only 14 additions"
    - "a dct approximation for image compression"

Connected through hyperedge HE-6 (induced by source paper "low complexity pruned 8 point dct approximations for image encoding"):
  with members:
    - "improved 8 point approximate dct for image and video compression requiring only 14 additions"
    - "a dct approximation for image compression"

Connected through hyperedge HE-7 (induced by source paper "improved 8 point approximate dct for image and video compression requiring only 14 additions"):
  with members:
    - "a row parallel 8 times 8 2 d dct architecture using algebraic integer based exact computation"
    - "a digital hardware fast algorithm and fpga based prototype for a novel 16 point approximate dct for image compression applications"
    - "a dct approximation for image compression"

Connected through hyperedge HE-8 (induced by source paper "dct like transform for image and video compression requires 10 additions only"):
  with members:
    - "improved 8 point approximate dct for image and video compression requiring only 14 additions"
    - "multiplierless approximate 4 point dct vlsi architectures for transform block coding"

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.MM(Multimedia)