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: "marginal multi bernoulli filters rfs derivation of mht jipda and association based member"
  Abstract: Recent developments in random finite sets (RFSs) have yielded a variety of tracking methods that avoid data association. This paper derives a form of the full Bayes RFS filter and observes that data association is implicitly present, in a data structure similar to multiple hypothesis tracking (MHT). Subsequently, algorithms are obtained by approximating the distribution of associations. Two algorithms result: one nearly identical to joint integrated probabilistic data association (JIPDA), and another related to the multiple target multi-Bernoulli (MeMBer) filter. Both improve performance in challenging environments.

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 "a belief propagation algorithm for multipath based slam"):
  with members:
    - "generalized optimal sub pattern assignment metric"
    - "a scalable algorithm for tracking an unknown number of targets using multiple sensors"
    - "cooperative simultaneous localization and synchronization in mobile agent networks"
    - "variational bayesian inference of line spectra"
    - "approximate evaluation of marginal association probabilities with belief propagation"
    - "evaluation of position related information in multipath components for indoor positioning"

Connected through hyperedge HE-3 (induced by source paper "multiple model poisson multi bernoulli mixture filter for maneuvering targets"):
  with members:
    - "mono camera 3d multi object tracking using deep learning detections and pmbm filtering"

Connected through hyperedge HE-4 (induced by source paper "mono camera 3d multi object tracking using deep learning detections and pmbm filtering"):
  with members:
    - "beyond pixels leveraging geometry and shape cues for online multi object tracking"
    - "poisson multi bernoulli mixture filter direct derivation and implementation"
    - "soft nms improving object detection with one line of code"
    - "dilated residual networks"
    - "deep manta a coarse to fine many task network for joint 2d and 3d vehicle analysis from monocular image"
    - "3d bounding box estimation using deep learning and geometry"
    - "real time single image and video super resolution using an efficient sub pixel convolutional neural network"
    - "you only look once unified real time object detection"

Connected through hyperedge HE-5 (induced by source paper "poisson multi bernoulli mixture filter direct derivation and implementation"):
  with members:
    - "generalized optimal sub pattern assignment metric"
    - "a scalable algorithm for tracking an unknown number of targets using multiple sensors"
    - "an efficient variational approximation of the best fitting multi bernoulli filter"

Connected through hyperedge HE-6 (induced by source paper "multisensor poisson multi bernoulli filter for joint target sensor state tracking"):
  with members:
    - "poisson multi bernoulli mixture filter direct derivation and implementation"
    - "a scalable algorithm for tracking an unknown number of targets using multiple sensors"
    - "past present and future of simultaneous localization and mapping toward the robust perception age"
    - "multiple scan data association by convex variational inference"
    - "an efficient variational approximation of the best fitting multi bernoulli filter"

Connected through hyperedge HE-7 (induced by source paper "a scalable algorithm for tracking an unknown number of targets using multiple sensors"):
  with members:
    - "approximate evaluation of marginal association probabilities with belief propagation"
    - "the bethe permanent of a nonnegative matrix"

Connected through hyperedge HE-8 (induced by source paper "multiple scan data association by convex variational inference"):
  with members:
    - "a scalable algorithm for tracking an unknown number of targets using multiple sensors"
    - "an efficient variational approximation of the best fitting multi bernoulli filter"
    - "approximate evaluation of marginal association probabilities with belief propagation"
    - "loopy belief propagation for approximate inference an empirical study"
    - "the bethe permanent of a nonnegative matrix"
    - "a new class of upper bounds on the log partition function"
    - "approximating the permanent with fractional belief propagation"
    - "merging belief propagation and the mean field approximation a free energy approach"

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)