'Object categorization' presentation slideshows

Topic III: Bag of Words, Dirichlet Processes, and Chinese Restaurant Processes

Topic III: Bag of Words, Dirichlet Processes, and Chinese Restaurant Processes. Notes are due to Fei-fei Li and Michael I. Jordan. Computer receives telephone call Measures Pitch of voice Decides gender of caller. Toy example. Male. Human Voice. Female. Generative modeling. mean1.

1.72k views • 146 slides

Part 1: Bag-of-words models

1.33k views • 68 slides

ICCV 2005 Beijing, Short Course, Oct 15

ICCV 2005 Beijing, Short Course, Oct 15. Recognizing and Learning Object Categories. Li Fei-Fei, UIUC Rob Fergus, MIT Antonio Torralba, MIT. Agenda. Introduction Bag of words models Part-based models Discriminative methods Segmentation and recognition Conclusions. material thing.

639 views • 47 slides

CVPR 2007 Minneapolis, Short Course, June 17

CVPR 2007 Minneapolis, Short Course, June 17. Recognizing and Learning Object Categories: Year 2007. Li Fei-Fei, Princeton Rob Fergus, MIT Antonio Torralba, MIT. Agenda. Introduction Bag-of-words models Part-based models Discriminative methods Segmentation and recognition

477 views • 47 slides

478 views • 41 slides

(Infinitely) Deep Learning in Vision

(Infinitely) Deep Learning in Vision. Max Welling (UCI) collaborators: Ian Porteous (UCI) Evgeniy Bart UCI/Caltech) Pietro Perona (Caltech). Outline. Nonparametric Bayesian Taxonomy models for object categorization Hierarchical representations from networks of HDPs. Motivation.

294 views • 18 slides

Multiclass object recognition

Multiclass object recognition. Ankit Agrawal Jyoti Meena. Objectives. Categorization Identification. I ntroduction. We applied a biologically inspired model of visual object recognition to the multiclass object categorization problem . Our model based on Serre , Wolf, and Poggio .

229 views • 13 slides

Multiclass object recognition

Multiclass object recognition. Ankit Agrawal Jyoti Meena. Objectives. Categorization Identification. I ntroduction. We applied a biologically inspired model of visual object recognition to the multiclass object categorization problem . Our model based on Serre , Wolf, and Poggio .

131 views • 13 slides