human: Given a node-centered hypergraph: <hypergraph>, where nodes represent authors and hyperedges represent groups of authors who co-authored the same paper.

Details of the hypergraph:
Center node: "Find Rooms for Improvement: Towards Semi-automatic Labeling of Occupancy Grid Maps"
  Abstract: Semi-automatic semantic labeling of occupancy grid maps has numerous applications for assistance robotic. This paper proposes an approach based on non-negative matrix factorization (NMF) to extract environment specific features from a given occupancy grid map. NMF also computes a description about where on the map these features need to be applied. We use this description after certain pre-processing steps as an input for generalized learning vector quantization (GLVQ) to achieve the classification or labeling of the grid cells. For the supervised training of the GLVQ the assigned label is propagated to all grid cells of a semantic unit using a simple, yet effective segmentation algorithm. Our approach is evaluated on a standard data set from University of Freiburg, showing very promising results.

Connected through hyperedge HE-1 (induced by source paper "Sparse coding of human motion trajectories with non-negative matrix factorization"):
  with members:
    - "On the Convergence of Multiplicative Update Algorithms for Nonnegative Matrix Factorization"

Question: Please tell me which research area the center author belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science