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 "edge based grid super imposition for crowd emotion recognition"):
  Abstract: Numerous automatic continuous emotion detection system studies have examined mostly use of videos and images containing individual person expressing emotions. This study examines the detection of spontaneous emotions in a group and crowd settings. Edge detection was used with a grid of lines superimposition to extract the features. The feature movement in terms of movement from the reference point was used to track across sequences of images from the color channel. Additionally the video data capturing was done on spontaneous emotions invoked by watching sports events from group of participants. The method was view and occlusion independent and the results were not affected by presence of multiple people chaotically expressing various emotions. The edge thresholds of 0.2 and grid thresholds of 20 showed the best accuracy results. The overall accuracy of the group emotion classifier was 70.9%.

Includes members:
  Member "multimodal affect analysis for product feedback assessment":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "embedded implementation of a deep learning smile detector")
  Member "code definition analysis for call graph generation":
    also connected through other hyperedges:
      (none)
  Member "structured unit testable templated code for efficient code review process":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "embracing agile methodology during devops developer internship program")
  Member "dynamic probabilistic network based human action recognition":
    also connected through other hyperedges:
      (none)
  Member "self contained cross cutting pipeline software architecture":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "xml entity architecture for efficient software integration")
  Member "augmenting supervised emotion recognition with rule based decision model":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "survey on emotional body gesture recognition")
  Member "multimodal affect recognition using kinect":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "human action recognition and assessment via deep neural network self organization")
  Member "xml entity architecture for efficient software integration":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "multimodal affect analysis for product feedback assessment")

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.CV(Computer Vision and Pattern Recognition)