ABSTRACT. As informal methods do little to help their use for concurrent and distributed programming, one of the most challenging current tasks is to build tools based on formal me...
Fabien Dagnat, Marc Pantel, Matthias Colin, Patric...
We present a novel method for the discovery and detection of visual object categories based on decompositions using topic models. The approach is capable of learning a compact and...
Multi-view face detection plays an important role in many applications. This paper presents a statistical learning method to extract features and construct classifiers for multi-...
With the rapid growth of the Internet and pervasive computing activities, the migration of back-end legacy systems to network centric environments has become a focal point for res...
We present a novel approach to localization of objects in clutter images with the use of linear adaptive filters in a two-object classifier: target object versus clutter object. A...