1. CSSE463: Image Recognition Day 20
Project Teams:
Stabilizer: Yuzong G, Jackie Z, Tony Y, Yolande X
Champion Annotator: Thomas D, Ben K, Tim M, Dan S
Automobiles : Larry G, Nicole M, Aaron M, Jarvis Z
Math Handwriting: Josh G, Dustin G, Joe M
Deep Learning: Nathan B, Matthew G, Jared H, Matthew P 
???: Josh L, Max M, Runzhi Y, Chi Z

2. Term project next steps
From the Lit Review specification.
Goal: Review what others have done. Don’t re-invent the wheel.
Read papers!
Summarize papers
Due next Sunday night

3. CSSE463: Image Recognition Day 20
Today: Lab for sunset detector
Next week:
Monday: Sunset detector worktime
Tuesday: Midterm Exam
Thursday: k-means clustering (sunset due 11:00 pm)
Friday: lab 6 (k-means)

4. Exam prep Bright blue roadmap sheet
Exam review slides (courtesy reminder)

5. Last words on neural nets/SVM

6. Common model of learning machines
Statistical
Learning (svmtrain)
Labeled Training
Images
Normalize in same way
Extract Features
(color, texture)
Summary
Test
Image
Extract Features
(color, texture)
Classifier (svmfwd)
Label

7. Sunset Process I suggest writing as you go
Loop over 4 folders of images
Extract features
Normalize
Split into train and test and label
Save
Loop over kernel params
Train
Test
Record accuracy, #sup vec
For SVM with param giving best accuracy,
Generate ROC curve
Find good images
Do extension
I suggest writing as you go