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Valero Laparra

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Papers (9)

  1. Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs cs.CV · 2026 · author #4
  2. Fair Kernel Learning stat.ML · 2017 · author #2
  3. Sequential Principal Curves Analysis stat.ML · 2016 · author #1
  4. Optimized Kernel Entropy Components stat.ML · 2016 · author #2
  5. Nonlinearities and Adaptation of Color Vision from Sequential Principal Curves Analysis stat.ML · 2016 · author #1
  6. Iterative Gaussianization: from ICA to Random Rotations stat.ML · 2016 · author #1
  7. Principal Polynomial Analysis stat.ML · 2016 · author #1
  8. Image Denoising with Kernels based on Natural Image Relations cs.CV · 2016 · author #1
  9. Dimensionality Reduction via Regression in Hyperspectral Imagery stat.ML · 2016 · author #1

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