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Iccv2009 recognition and learning object categories p2 c02 - recognizing muliple objects in an image - sharing and context
Education Iccv2009 recognition and learning object categories p2 c02 - recognizing muliple objects in an...

1. Multiclass object detection 2. Multiclass object detection 3. 4. 5. Context: objects appear in configurations 6. Generalization: objects share parts 7. How many categories?…

Brain reading, compressive sensing, fMRI and statistical learning in Python
Technology Brain reading, compressive sensing, fMRI and statistical learning in Python

1. Brain reading: Compressive sensing, fMRI, and statistical learning in PythonGa¨l VaroquauxeINRIA/Parietal 2. 1 Brain reading: predictive models 2 Sparse recovery with…

CREATIVE SYNTHESIS David Pearson Room T10, William Guild Building d.g.pearson@abdn.ac.uk.
Documents CREATIVE SYNTHESIS David Pearson Room T10, William Guild Building [email protected].

Slide 1CREATIVE SYNTHESIS David Pearson Room T10, William Guild Building [email protected] Slide 2 Creative synthesis task suggests that people can recognise emergent…

Context-based object-class recognition and retrieval by generalized correlograms by J. Amores, N. Sebe and P. Radeva Discussion led by Qi An Duke University.
Documents Context-based object-class recognition and retrieval by generalized correlograms by J. Amores, N....

Slide 1Context-based object-class recognition and retrieval by generalized correlograms by J. Amores, N. Sebe and P. Radeva Discussion led by Qi An Duke University Slide…

Article review by Alexander Backus Distributed representations meeting article review.
Documents Article review by Alexander Backus Distributed representations meeting article review.

Slide 1Article review by Alexander Backus Distributed representations meeting article review Slide 2 104 scenes 208 object images (exemplars) associated with the scenes Presented…

Intro CALTECH 256 Greg Griffin, Alex Holub and Pietro Perona.
Documents Intro CALTECH 256 Greg Griffin, Alex Holub and Pietro Perona.

Slide 1 Intro CALTECH 256 Greg Griffin, Alex Holub and Pietro Perona Slide 2 Overview 256 Object Categories + Clutter At least 80 images per category 30608 images instead…

Robust Subspace Discovery: Low-rank and Max-margin Approaches Xiang Bai Joint works with Xinggang Wang, Zhengdong Zhang, Zhuowen Tu, Yi Ma and Wenyu Liu.
Documents Robust Subspace Discovery: Low-rank and Max-margin Approaches Xiang Bai Joint works with Xinggang...

Slide 1 Robust Subspace Discovery: Low-rank and Max-margin Approaches Xiang Bai Joint works with Xinggang Wang, Zhengdong Zhang, Zhuowen Tu, Yi Ma and Wenyu Liu 1 Slide 2…

Problem: SVM training is expensive – Mining for hard negatives, bootstrapping Solution: LDA (Linear Discriminant Analysis). – Extremely fast training,
Documents Problem: SVM training is expensive – Mining for hard negatives, bootstrapping Solution: LDA...

Slide 1 Slide 2 Problem: SVM training is expensive – Mining for hard negatives, bootstrapping Solution: LDA (Linear Discriminant Analysis). – Extremely fast training,…

Studying Relationships Between Human Gaze, Description, and Computer Vision
Documents Studying Relationships Between Human Gaze, Description, and Computer Vision

Slide 1 Studying Relationships Between Human Gaze, Description, and Computer Vision Kiwon Yun1, Yifan Peng1 Dimitris Samaras1, Gregory J. Zelinsky1,2, Tamara L. Berg3 1Department…

Announcements Final exam: Friday Dec 19, 8am-11am, 1 Pimentel Closed-book, closed-notes except 1 page of notes Grading Your midterm score is replaced.
Documents Announcements Final exam: Friday Dec 19, 8am-11am, 1 Pimentel Closed-book, closed-notes except 1.....

CS 294-5: Statistical Natural Language Processing Announcements Final exam: Friday Dec 19, 8am-11am, 1 Pimentel Closed-book, closed-notes except 1 page of notes Grading Your…

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