NIPS Proceedingsβ

Nuno Vasconcelos

19 Papers

  • Object based Scene Representations using Fisher Scores of Local Subspace Projections (2016)
  • Multi-Resolution Cascades for Multiclass Object Detection (2014)
  • On the connections between saliency and tracking (2012)
  • Recognizing Activities by Attribute Dynamics (2012)
  • Maximum Covariance Unfolding : Manifold Learning for Bimodal Data (2011)
  • Multiclass Boosting: Theory and Algorithms (2011)
  • A biologically plausible network for the computation of orientation dominance (2010)
  • Boosting Classifier Cascades (2010)
  • Variable margin losses for classifier design (2010)
  • On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost (2008)
  • The discriminant center-surround hypothesis for bottom-up saliency (2007)
  • Layered Dynamic Textures (2005)
  • Discriminant Saliency for Visual Recognition from Cluttered Scenes (2004)
  • A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications (2003)
  • Feature Selection by Maximum Marginal Diversity (2002)
  • Bayesian Video Shot Segmentation (2000)
  • Learning from User Feedback in Image Retrieval Systems (1999)
  • Learning Mixture Hierarchies (1998)
  • Multiresolution Tangent Distance for Affine-invariant Classification (1997)