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: "a dct approximation for image compression"
  Abstract: An orthogonal approximation for the 8-point discrete cosine transform (DCT) is introduced. The proposed transformation matrix contains only zeros and ones; multiplications and bit-shift operations are absent. Close spectral behavior relative to the DCT was adopted as design criterion. The proposed algorithm is superior to the signed discrete cosine transform. It could also outperform state-of-the-art algorithms in low and high image compression scenarios, exhibiting at the same time a comparable computational complexity.

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"
    - "dct like transform for image compression requires 14 additions only"
    - "a digital hardware fast algorithm and fpga based prototype for a novel 16 point approximate dct for image compression applications"

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"
    - "dct like transform for image compression requires 14 additions only"

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"
    - "dct like transform for image compression requires 14 additions only"
    - "a digital hardware fast algorithm and fpga based prototype for a novel 16 point approximate dct for image compression applications"

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"
    - "dct like transform for image compression requires 14 additions only"

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"
    - "dct like transform for image compression requires 14 additions only"

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"
    - "dct like transform for image compression requires 14 additions only"

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"
    - "dct like transform for image compression requires 14 additions only"
    - "a digital hardware fast algorithm and fpga based prototype for a novel 16 point approximate dct for image compression applications"

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

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)