Learn More
—We present a Bayesian model that allows to automatically generate fixations/foveations and that can be suitably exploited for compression purposes. The twofold aim of this work is to investigate how the exploitation of high-level perceptual cues provided by human faces occurring in the video can enhance the compression process without reducing the(More)
It is well known that supervised text classification methods need to learn from many labeled examples to achieve a high accuracy. However, in a real context, sufficient labeled examples are not always available. For this reason, there has been recent interest in methods that are capable of obtaining a high accuracy even if the size of the training set is(More)
—In this paper we present an extensive evaluation of visual descriptors for the content-based retrieval of remote sensing images. The evaluation includes global, local, and Con-volutional Neural Network (CNNs) features coupled with three different Content-Based Image Retrieval schemas. We conducted all the experiments on two publicly available datasets: the(More)
Life expectancy keeps growing and, among elderly people, accidental falls occur frequently. A system able to promptly detect falls would help in reducing the injuries that a fall could cause. Such a system should meet the needs of the people to which is designed , so that it is actually used. In particular, the system should be minimally invasive and(More)
Understanding visuomotor coordination requires the study of tasks that engage mechanisms for the integration of visual and motor information; in this paper we choose a paradigmatic yet little studied example of such a task, namely realistic drawing. On the one hand, our data indicate that the motor task has little influence on which regions of the image are(More)
In this paper we address the challenging problem of sensorimotor integration, with reference to eye-hand coordination of an artificial agent engaged in a natural drawing task. Under the assumption that eye-hand coupling influences observed movements, a motor continuity hypothesis is exploited to account for how gaze shifts are constrained by hand movements.(More)
In this article we present a model of realistic drawing accounting for visuomotor coordination, namely the strategies adopted to coordinate the processes of eye and hand movement generation, during the drawing task. Starting from some background assumptions suggested by eye-tracking human subjects, we formulate a Bayesian model of drawing activity. The(More)
Supervised text classifiers need to learn from many labeled examples to achieve a high accuracy. However , in a real context, sufficient labeled examples are not always available because human labeling is enormously time-consuming. For this reason, there has been recent interest in methods that are capable of obtaining a high accuracy when the size of the(More)
In this paper a new method for segmenting medical images is presented, the multiresolution diffused expectation-maximization (MDEM) algorithm. The algorithm operates within a multiscale framework, thus taking advantage of the fact that objects/regions to be segmented usually reside at different scales. At each scale segmentation is carried out via the(More)