Using traditional semantic data modeling, multi-level modeling can be achieved by representing objects in different abstraction hierarchies, namely classification, aggregation and...
We present a new approach to model visual scenes in image collections, based on local invariant features and probabilistic latent space models. Our formulation provides answers to...
Pedro Quelhas, Florent Monay, Jean-Marc Odobez, Da...
Since commercial musical recordings became available about a century ago and until very recently, they had always been distributed by means of a physical support. Nowadays that re...
Local features have proven very useful for recognition.
Manifold learning has proven to be a very powerful tool in
data analysis. However, manifold learning application for
imag...
: Our work is concerned with the design of a knowledge-based system for recognizing agricultural landscape models on land-use maps. Landscape models are defined as sets of spatial ...