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 "a belief propagation algorithm for multipath based slam"):
  Abstract: We present a simultaneous localization and mapping (SLAM) algorithm that is based on radio signals and the association of specular multipath components (MPCs) with geometric features. Especially in indoor scenarios,  robust  localization from radio signals is challenging due to diffuse multipath propagation, unknown MPC-feature association, and limited visibility of features. In our approach, specular reflections at flat surfaces are described in terms of virtual anchors (VAs) that are mirror images of the physical anchors (PAs). The positions of these VAs and possibly also of the PAs are unknown. We develop a Bayesian model of the SLAM problem and represent it by a factor graph, which enables the use of belief propagation (BP) for efficient marginalization of the joint posterior distribution. The resulting BP-based SLAM algorithm detects the VAs associated with the PAs and estimates jointly the time-varying position of the mobile agent and the positions of the VAs and possibly also of the PAs, thereby leveraging the MPCs in the radio signal for improved accuracy and robustness of agent localization. The algorithm has a low computational complexity and scales well in all relevant system parameters. Experimental results using both synthetic measurements and real ultra-wideband radio signals demonstrate the excellent performance of the algorithm in challenging indoor environments.

Includes members:
  Member "generalized optimal sub pattern assignment metric":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "decentralized poisson multi bernoulli filtering for vehicle tracking")
  Member "a scalable algorithm for tracking an unknown number of targets using multiple sensors":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "dynamic radar network of uavs a joint navigation and tracking approach")
  Member "cooperative simultaneous localization and synchronization in mobile agent networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "cooperative network synchronization asymptotic analysis")
  Member "variational bayesian inference of line spectra":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "expectation propagation line spectral estimation")
  Member "marginal multi bernoulli filters rfs derivation of mht jipda and association based member":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "decentralized poisson multi bernoulli filtering for vehicle tracking")
  Member "approximate evaluation of marginal association probabilities with belief propagation":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "machine learning methods for solving assignment problems in multi target tracking")
  Member "evaluation of position related information in multipath components for indoor positioning":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "massive mimo based localization and mapping exploiting phase information of multipath components")

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)