We study the problem of learning kernel machines transductively for structured output variables. Transductive learning can be reduced to combinatorial optimization problems over a...
This paper presents a video stabilization algorithm based on the extraction and tracking of Scale Invariant Feature Transform features through video frames. Implementation of SIFT...
Sebastiano Battiato, Giovanni Gallo, Giovanni Pugl...
Abstract. In this paper we address the task of image categorization using a new similarity measure on the space of Sparse Multiscale Patches (SMP). SMPs are based on a multiscale t...
Paolo Piro, Sandrine Anthoine, Eric Debreuve, Mich...
— With continued scaling, reliability is emerging as a critical challenge for the designers of digital circuits. The challenge stems in part from the lack of computationally efï¬...
Within the framework of long memory multivariate processes, fractal connectivity is a particular model, in which the low frequencies (coarse scales) of the interspectrum of each p...
Herwig Wendt, Antoine Scherrer, Patrice Abry, Soph...