Nick Antipa

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nick Antipa trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. E.J. Candes
  2. Amir Beck
  3. Marc Levoy
  4. Robert Tibshirani
  5. Jonathan Ragan-Kelley
  6. Nicolas C. Pégard
  7. Stephen P. Boyd
  8. Andrew Y. Ng
  9. Ren Ng
  10. Marc Teboulle

Who trusts Nick Antipa overall

  1. Xin Yuan
  2. David J. Brady

Papers from Nick Antipa's perspective

Ordered by how strongly the researchers Nick Antipa trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Regression Shrinkage and Selection via the Lasso
  2. An Introduction To Compressive Sampling
  3. Nonlinear total variation based noise removal algorithms
  4. Sparse non-negative matrix factorizations via alternating non-negativity-constrained least squares for microarray data analysis (Bioinform.)
  5. Halide: a language and compiler for optimizing parallelism, locality, and recomputation in image processing pipelines
  6. Algorithms for Non-negative Matrix Factorization
  7. Feature selection, L1 vs. L2 regularization, and rotational invariance
  8. Light field microscopy (ACM Transactions on Graphics)
  9. On the Complexity of Nonnegative Matrix Factorization (SIAM Journal on Optimization)
  10. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

Their papers