Embedded Systems are components integrating software and hardware jointly and specifically designed to provide given functionalities. These components may be used in many different...
Practical supervised learning scenarios involving subjectively evaluated data have multiple evaluators, each giving their noisy version of the hidden ground truth. Majority logic ...
The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
Similarity search, namely, finding approximate nearest neighborhoods, is the core of many large scale machine learning or vision applications. Recently, many research results dem...
We consider the problem of robustly and accurately locating facial features. The relative positions of different feature points are represented using a statistical shape model. We...