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: "consensus labeled random finite set filtering for distributed multi object tracking"
  Abstract: This paper addresses distributed multi-object tracking over a network of heterogeneous and geographically dispersed nodes with sensing, communication and processing capabilities. The main contribution is an approach to distributed multi-object estimation based on labeled Random Finite Sets (RFSs) and dynamic Bayesian inference, which enables the development of two novel consensus tracking filters, namely a Consensus Marginalized $\delta$-Generalized Labeled Multi-Bernoulli and Consensus Labeled Multi-Bernoulli tracking filter. The proposed algorithms provide fully distributed, scalable and computationally efficient solutions for multi-object tracking. Simulation experiments via Gaussian mixture implementations confirm the effectiveness of the proposed approach on challenging scenarios.

Connected through hyperedge HE-1 (induced by source paper "decentralized poisson multi bernoulli filtering for vehicle tracking"):
  with members:
    - "poisson multi bernoulli mixture filter direct derivation and implementation"
    - "mono camera 3d multi object tracking using deep learning detections and pmbm filtering"
    - "robust distributed fusion with labeled random finite sets"
    - "generalized optimal sub pattern assignment metric"
    - "multisensor poisson multi bernoulli filter for joint target sensor state tracking"
    - "distributed fusion with multi bernoulli filter based on generalized covariance intersection"
    - "extended object tracking introduction overview and applications"
    - "a metric on the space of finite sets of trajectories for evaluation of multi target tracking algorithms"

Connected through hyperedge HE-2 (induced by source paper "multiobject fusion with minimum information loss"):
  with members:
    - "partial consensus and conservative fusion of gaussian mixtures for distributed phd fusion"
    - "second order statistics analysis and comparison between arithmetic and geometric average fusion application to multi sensor target tracking"
    - "robust distributed fusion with labeled random finite sets"
    - "distributed smc phd fusion for partial arithmetic average consensus"
    - "distributed fusion with multi bernoulli filter based on generalized covariance intersection"
    - "the cauchy schwarz divergence for poisson point processes"

Connected through hyperedge HE-3 (induced by source paper "multi sensor control for multi object bayes filters"):
  with members:
    - "distributed fusion with multi bernoulli filter based on generalized covariance intersection"
    - "multi bernoulli sensor control via minimization of expected estimation errors"
    - "sensor control for multi object tracking using labeled multi bernoulli filter"
    - "the cauchy schwarz divergence for poisson point processes"
    - "sensor management for multi target tracking via multi bernoulli filtering"
    - "on the finite time convergence of cyclic coordinate descent methods"

Connected through hyperedge HE-4 (induced by source paper "robust distributed fusion with labeled random finite sets"):
  with members:
    - "distributed fusion with multi bernoulli filter based on generalized covariance intersection"

Connected through hyperedge HE-5 (induced by source paper "distributed fusion with multi bernoulli filter based on generalized covariance intersection"):
  with members:
    - "distributed fusion of labeled multi object densities via label spaces matching"
    - "multi bernoulli sensor control via minimization of expected estimation errors"
    - "hybrid poisson and multi bernoulli filters"

Connected through hyperedge HE-6 (induced by source paper "multi sensor control for multi target tracking using cauchy schwarz divergence"):
  with members:
    - "multi bernoulli sensor control via minimization of expected estimation errors"
    - "the cauchy schwarz divergence for poisson point processes"
    - "sensor management for multi target tracking via multi bernoulli filtering"

Connected through hyperedge HE-7 (induced by source paper "sliding window optimization on an ambiguity clearness graph for multi object tracking"):
  with members:
    - "motchallenge 2015 towards a benchmark for multi target tracking"
    - "near online multi target tracking with aggregated local flow descriptor"

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.SY(Systems and Control)