'Felzenszwalb et al' presentation slideshows

Max-Margin Latent Variable Models

Max-Margin Latent Variable Models. M. Pawan Kumar. Max-Margin Latent Variable Models. M. Pawan Kumar. Kevin Miller, Rafi Witten, Tim Tang, Danny Goodman, Haithem Turki , Dan Preston, Dan Selsam , Andrej Karpathy. Ben Packer. Daphne Koller. Computer Vision Data. Log (Size).

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Curriculum Learning for Latent Structural SVM

979 views • 45 slides

Object-centric spatial pooling for image classification

Object-centric spatial pooling for image classification. Olga Russakovsky , Yuanqing Lin, Kai Yu, Li Fei-Fei ECCV 2012. Image classification. Testing:. Does this image contain a car?. Training:. cars. cars. not cars. Yes. Result. Model. Proof of concept experiment. Testing:.

554 views • 41 slides

Loss-based Visual Learning with Weak Supervision

Loss-based Visual Learning with Weak Supervision. M. Pawan Kumar. Joint work with Pierre-Yves Baudin , Danny Goodman , Puneet Kumar, Nikos Paragios , Noura Azzabou , Pierre Carlier. SPLENDID. Self-Paced Learning for Exploiting Noisy, Diverse or Incomplete Data . Machine Learning.

501 views • 37 slides

Learning Structural SVMs with Latent Variables

402 views • 26 slides