This work presents the application of HMM adaptation techniques to the problem of Off-Line Cursive Script Recognition. Rather than training a new model for each writer, one first ...
Spoken dialogue systemperformance canvary widely fordifferentusers, aswell for the same userduring different dialogues.This paper presents the design and evaluation ofan adaptive v...
In this contribution we present a novel general model for adaptive processors with organic features. We describe its basic principle of operation. The adaptive operations that are ...
This paper discusses the problem of content adaptation for mobile devices. The adaptation considers the context of the client and also the environment where the client request is ...
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...