We have derived a new algorithm for dictionary learning for sparse coding in the ℓ1 exact sparse framework. The algorithm does not rely on an approximation residual to operate, b...
— Within-subject analysis in event-related functional Magnetic Resonance Imaging (fMRI) first relies on (i) a detection step to localize which parts of the brain are activated b...
A novel method for robust super-resolution offace images is proposed in this paper. Face super-resolution is a particular interest in video surveillance where face images have typ...
We present an identification and authentication system based on hand modality which is part of a reference system for all modalities developed within the Biosecure consortium. It...
In this paper we consider the problem of image encoding with side information at the decoder, where the side information is an integer shifted version of the image at the encoder....
Marco Dalai, Riccardo Leonardi, Pier Luigi Dragott...
The article compares two approaches to the description of ultrasound vocal tract images for application in a “silent speech interface,” one based on tongue contour modeling, a...
Lung nodule detection, especially ground glass opacity (GGO) detection, in helical computed tomography (CT) images is a challenging Computer-Aided Detection (CAD) task due to the ...
Spike sorting refers to the detection and classification of electric potentials (spikes) from multi-neuron recordings, a difficult but essential pre-processing step before neura...
We propose an adaptive ltering approach for coding video that exhibits localized camera focus changes, e.g., such that different portions of a video frame can undergo different bl...
PoLin Lai, Yeping Su, Peng Yin, Cristina Gomila, A...
This paper introduces a novel energy minimization method, namely iterated cross entropy with partition strategy (ICEPS), into the Markov random field theory. The solver, which is...