Pattern Recognition and Machine Learning

ENSIMAG - 3 ( 5MM25371)

Grenoble Insititut National Polytechniques

Academic Year 2017 - 2018

James L. Crowley

Teaching Assistant:  Yagmur  Cinar

Wednesdays 11h15 - 12h45 in  H203*

Verify Lecture Locations in ADE
Schedule of Classes

http://www-prima.inrialpes.fr/Prima/Homepages/jlc/Courses/2017/PRML/PRML.html

Class notes (pdf)

04 October 2017   Learning and Evaluation for Pattern Recognition 

11 October 2017   Face Detection using Color Histograms
11 October 2017   Lab Project 1: Face Detection with  Color Histograms of Skin Pixels (Due Wednesday 15 Nov)
11 October 2017   UMASS FDDB: Face Detection Data Set and Benchmark
11 October 2017   Background  Reading: [Jain and Learned-Miller 2010],  [Schwerdt-Crowley FG2000],

18 October 2017   Progamming Clinic:  Python, OpenCV, Face Image Data Bases (in E104)
 
25 October 2017   Detecting and Locating Faces with Color: Three Challenges for Project 1

8 November 2017   Lab Project 1 Project Team Presentations.

15 November 2017  No Class - Lab Project 1 written reports due by email

22 November 2017  Viola Jones Face Detector - Image Description with Haar like features, Boosted Learning, Cascade Classifiers.
22 November 2017  Lab Project 2: Viola Jones Faces Detector  (Evaluation Criteria)
                                (Oral Presentations 13 December,  Written reports due Wednesday 20 December)
22 november 2017   Background Reading:  [Viola-Jones CVPR 2001]

29 November 2017  Eigen Faces - Face Detection and Recognition with Principal Components Analysis
29 November 2017: Background Reading: Turk and Pentaland, Face recognition using eigenfaces, CVPR '91

6 December 2017  Clustering and Non-Supervised Learning with K-Means and EM
6 December 2017 Jeff Bilmes, A Gentle Tutorial of the EM Algorithm

13 December 2017  Viola Jones Face Detector - Project Team Presentations

20 December 2017  Artificial Neural Networks:  Introduction, Multi-layer networks, Backpropagation.
20 December 2017  Paper on Xavier GLORIOT's initialisation procedure
20 December 2017  Background Reading:  [Rowley-Kanade  1998]
20 December 2017  Lab Project 3: Face Detection with Artificial Neural Networks
20 December 2017  Lab 2 Viola Jones Face Detector: Written Project Results Due

10 January 2018  Convolutional Neural Networks, Pooling, Auto-Encoders

17 January 2018  Project Team Presentations for Lab 3
17 January 2018  Review of Course, Preparation for Exam.

25 January 2018  Written  reports for Lab project 3  due by email

5-10 February 2018 Exams.

Annals: Exam from 2016/2017.
 


Some Notes on Performance Evaluation:

Performance Evaluation Metrics (supplement to lecture 2).


Face Detection Data Sets:

FDDB dataset: FDDB dataset contains the annotations for 5,171 faces in a set of 2,845 images.
WIDER FACE: A face detection benchmark dataset with 32,203 images and labels for 393,703 faces with a high degree of variability in scale, pose and occlusion.
MALF dataset: Face Detection in the Wild.  MALF consists of 5,250 images and 11,931 faces.
AFW dataset: Face Detetion in the Wild. AFW dataset is built using Flickr images. It has 205 images with 473 labeled faces.
For each face, annotations include a rectangular bounding box, 6 landmarks and the pose angles.

IJB-A dataset: US NIST IJB-A dataset for face detection and face recognition. IJB-A contains 24,327 images and 49,759 faces.

 

http://www-prima.inrialpes.fr/Prima/Homepages/jlc/Courses/2017/PRML/PRML.html
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Copyright: Crowley, J. L. , "Class Notes - Pattern Recognition and Machine Learning",  ENSIMAG, Grenoble Institut Polytechnique, 

Crée par James L. Crowley. Last update 10 oct 2017