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: "robust camera location estimation by convex programming"
  Abstract: $3$D structure recovery from a collection of $2$D images requires the estimation of the camera locations and orientations, i.e. the camera motion. For large, irregular collections of images, existing methods for the location estimation part, which can be formulated as the inverse problem of estimating $n$ locations $\mathbf{t}_1, \mathbf{t}_2, \ldots, \mathbf{t}_n$ in $\mathbb{R}^3$ from noisy measurements of a subset of the pairwise directions $\frac{\mathbf{t}_i - \mathbf{t}_j}{\|\mathbf{t}_i - \mathbf{t}_j\|}$, are sensitive to outliers in direction measurements. In this paper, we firstly provide a complete characterization of well-posed instances of the location estimation problem, by presenting its relation to the existing theory of parallel rigidity. For robust estimation of camera locations, we introduce a two-step approach, comprised of a pairwise direction estimation method robust to outliers in point correspondences between image pairs, and a convex program to maintain robustness to outlier directions. In the presence of partially corrupted measurements, we empirically demonstrate that our convex formulation can even recover the locations exactly. Lastly, we demonstrate the utility of our formulations through experiments on Internet photo collections.

Connected through hyperedge HE-1 (induced by source paper "learning transformation synchronization"):
  with members:
    - "open3d a modern library for 3d data processing"
    - "recurrent transformer networks for semantic correspondence"
    - "robust rotation synchronization via low rank and sparse matrix decomposition"
    - "learning to find good correspondences"
    - "spectral synchronization of multiple views in se 3"
    - "a large dataset of object scans"
    - "a solution for multi alignment by transformation synchronisation"
    - "multi image matching via fast alternating minimization"

Connected through hyperedge HE-2 (induced by source paper "averaging essential and fundamental matrices in collinear camera settings"):
  with members:
    - "resultant based incremental recovery of camera pose from pairwise matches"
    - "algebraic characterization of essential matrices and their averaging in multiview settings"
    - "on the solvability of viewing graphs"
    - "gpsfm global projective sfm using algebraic constraints on multi view fundamental matrices"
    - "a new rank constraint on multi view fundamental matrices and its application to camera location recovery"
    - "linear global translation estimation with feature tracks"

Connected through hyperedge HE-3 (induced by source paper "algebraic characterization of essential matrices and their averaging in multiview settings"):
  with members:
    - "resultant based incremental recovery of camera pose from pairwise matches"
    - "gpsfm global projective sfm using algebraic constraints on multi view fundamental matrices"
    - "rotation averaging and strong duality"
    - "a new rank constraint on multi view fundamental matrices and its application to camera location recovery"
    - "shapefit and shapekick for robust scalable structure from motion"
    - "linear global translation estimation with feature tracks"

Connected through hyperedge HE-4 (induced by source paper "graph based parallel large scale structure from motion"):
  with members:
    - "baseline desensitizing in translation averaging"
    - "rotation averaging and strong duality"
    - "parallel structure from motion from local increment to global averaging"
    - "large scale sfm with the distributed camera model"
    - "hierarchical structure and motion recovery from uncalibrated images"

Connected through hyperedge HE-5 (induced by source paper "baseline desensitizing in translation averaging"):
  with members:
    - "a new rank constraint on multi view fundamental matrices and its application to camera location recovery"
    - "shapefit and shapekick for robust scalable structure from motion"

Connected through hyperedge HE-6 (induced by source paper "an overview of robust subspace recovery"):
  with members:
    - "fast robust and non convex subspace recovery"
    - "static and dynamic robust pca via low rank sparse matrix decomposition a review"
    - "on the complexity of robust pca and l1 norm low rank matrix approximation"
    - "estimation of camera locations in highly corrupted scenarios all about that base no shape trouble"
    - "static and dynamic robust pca and matrix completion a review"
    - "being robust in high dimensions can be practical"
    - "a new rank constraint on multi view fundamental matrices and its application to camera location recovery"
    - "a well tempered landscape for non convex robust subspace recovery"

Connected through hyperedge HE-7 (induced by source paper "robust rotation synchronization via low rank and sparse matrix decomposition"):
  with members:
    - "a survey of structure from motion"
    - "shapefit and shapekick for robust scalable structure from motion"
    - "spectral synchronization of multiple views in se 3"
    - "on computing the translations norm in the epipolar graph"
    - "practical matrix completion and corruption recovery using proximal alternating robust subspace minimization"
    - "a solution for multi alignment by transformation synchronisation"
    - "cramer rao bounds for synchronization of rotations"
    - "low rank modeling and its applications in image analysis"

Connected through hyperedge HE-8 (induced by source paper "exact camera location recovery by least unsquared deviations"):
  with members:
    - "baseline desensitizing in translation averaging"
    - "estimation of camera locations in highly corrupted scenarios all about that base no shape trouble"
    - "a new rank constraint on multi view fundamental matrices and its application to camera location recovery"
    - "a survey of structure from motion"
    - "shapefit and shapekick for robust scalable structure from motion"
    - "shapefit exact location recovery from corrupted pairwise directions"
    - "robust computation of linear models by convex relaxation"
    - "stable camera motion estimation using convex programming"

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.CV(Computer Vision and Pattern Recognition)