human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "on the covariance matrix distortion constraint for the gaussian wyner ziv problem"):
  Abstract: We first present an explicit formula R(D) for the rate-distortion function (RDF) of the vector Gaussian re- mote Wyner-Ziv problem with covariance matrix distortion constraints. To prove the lower bound, we use a particular variant of joint matrix diagonalization to establish a notion of the minimum of two symmetric positive-definite matrices. We then show that from the resulting RDF, it is possible to derive RDFs with different distortion constraints. Specifically, we rederive the RDF for the vector Gaussian remote Wyner-Ziv problem with the mean-squared error distortion constraint, and a rate-mutual information function. This is done by minimizing R(D) subject to appropriate constraints on the distortion matrix D. The key idea to solve the resulting minimization problems is to lower- bound them with simpler optimization problems and show that they lead to identical solutions. We thus illustrate the generality of the covariance matrix distortion constraint in the Wyner-Ziv setup.

Includes members:
  Member "distributed remote vector gaussian source coding with covariance distortion constraints":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "source coding in networks with covariance distortion constraints")
  Member "an outer bound for the vector gaussian ceo problem":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "on the information bottleneck problems models connections applications and information theoretic views")
  Member "rate region of the gaussian scalar help vector source coding problem":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "source coding in networks with covariance distortion constraints")
  Member "vector gaussian multiple description with individual and central receivers":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "vector gaussian successive refinement with degraded side information")

Question: Please tell me which class the source paper 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.IT(Information Theory)