I'll be happy to work with you.
Areas Xavier Grehant is Knowledgeable in:
See skills section.
Techniques Xavier Grehant Uses:
First I research the context, in order to undestand what makes a good solution.
Then I use intuition in areas where I "visualize" things, especially in linear algebra, machine learning and algorithms. In my experience, finding the initial idea is a lot about putting myself into an appropriate state and "listening" rather than trying to actively build up things.
Then, I use formal models and simulations to verify the idea.
Xavier Grehant's Problem Solving Skills:
- distributed computing
- distributed systems
- cognitive sciences
- signal processing
- biometrics
- behavioral targeting
- operations research
- optimization
- machine learning
- statistics
- machine vision
- algorithms
- computer science
- processor performance
- systems architecture
Xavier Grehant's Problem Solving Experience:
- I designed and demonstrated an award-winning face fiducial points detection method. The system accurately detects more than a hundred features on pictures of faces never seen before.
- I described an algorithm to remove glasses and hair on pictures of faces never seen before. The algorithm was developed and tested. It accurately guesses and reconstructs the face without these attributes.
- I designed an award-winning behavioral targeting algorithm to suggest items to users likely to be interested.