Max-Margin Invariant Features from Transformed Unlabelled Data

Dipan Pal, Ashwin Kannan, Gautam Arakalgud, Marios Savvides

Nov-21-2025, 10:41:26 GMT–Neural Information Processing Systems

The study of representations invariant to common transformations of the data is important to learning.

artificial intelligence, machine learning, transformation, (15 more...)

Neural Information Processing Systems

Nov-21-2025, 10:41:26 GMT

Conferences PDF

Country:
- Europe (0.04)
- North America > United States
  - California > Los Angeles County
    - Long Beach (0.04)
  - Massachusetts (0.04)
  - Pennsylvania > Allegheny County
    - Pittsburgh (0.04)

Technology:
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning > Support Vector Machines (0.48)

Duplicate Docs Excel Report

Title
Max-Margin Invariant Features from Transformed Unlabelled Data
Max-Margin Invariant Features from Transformed Unlabelled Data

Similar Docs Excel Report more

Title	Similarity	Source
None found