Abstract. We study the problem of multimodal dimensionality reduction assuming that data samples can be missing at training time, and not all data modalities may be present at appl...
Accurate noise models are important to perform reliable robust image analysis. Indeed, many vision problems can be seen as parameter estimation problems. In this paper, two noise m...
Sio-Song Ieng, Jean-Philippe Tarel, Pierre Charbon...
Abstract. The full multigrid (FMG) algorithm is often claimed to achieve so-called discretizationlevel accuracy. In this paper, this notion is formalized by defining a worst-case r...
Carmen Rodrigo, Francisco J. Gaspar, Cornelis W. O...
We analyze the Synchrosqueezing transform, a consistent and invertible time-frequency analysis tool that can identify and extract oscillating components (of time-varying frequency...
Eugene Brevdo, Neven S. Fuckar, Gaurav Thakur, Hau...
—In this paper, a lattice-reduction-aided (LRA) With such an approximation, the complexity of VP is greatly minimum mean square error (MMSE) vector precoding (VP) is reduced. pro...