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 "cvpaper challenge in 2015 a review of cvpr2015 and deepsurvey"):
  Abstract: The "cvpaper.challenge" is a group composed of members from AIST, Tokyo Denki Univ. (TDU), and Univ. of Tsukuba that aims to systematically summarize papers on computer vision, pattern recognition, and related fields. For this particular review, we focused on reading the ALL 602 conference papers presented at the CVPR2015, the premier annual computer vision event held in June 2015, in order to grasp the trends in the field. Further, we are proposing "DeepSurvey" as a mechanism embodying the entire process from the reading through all the papers, the generation of ideas, and to the writing of paper.

Includes members:
  Member "semi supervised learning with explicit relationship regularization":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "infinite variational autoencoder for semi supervised learning")
  Member "understanding image virality":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "integrating text and image determining multimodal document intent in instagram posts")
  Member "watch and learn semi supervised learning of object detectors from videos":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "generalizable semi supervised learning method to estimate mass from sparsely annotated images")
  Member "deep carving discovering visual attributes by carving deep neural nets":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "joint attention in driver pedestrian interaction from theory to practice")
  Member "improving object detection with deep convolutional networks via bayesian optimization and structured prediction":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "adaptively denoising proposal collection for weakly supervised object localization")
  Member "bilinear random projections for locality sensitive binary codes":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "simultaneous feature aggregating and hashing for compact binary code learning")
  Member "learning multiple visual tasks while discovering their structure":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "are we done with object recognition the icub robot s perspective")
  Member "facenet a unified embedding for face recognition and clustering":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "discrimination aware network pruning for deep model compression")

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)