Subspace clustering and frequent itemset mining via “stepby-step” algorithms that search the subspace/pattern lattice in a top-down or bottom-up fashion do not scale to large ...
— A view-dependent visibility estimation technique for tree models is proposed in this work. While most previous work focused on visibility estimation of large objects in archite...
Abstract. In this work we investigate several issues in order to improve the performance of probabilistic estimation trees (PETs). First, we derive a new probability smoothing that...
This paper presents a family of log-spectral amplitude (LSA) estimators for speech enhancement. Generalized Gamma distributed (GGD) priors are assumed for speech short-time spectr...
This paper deals with the joint estimation of temporal (timedelay, Doppler frequency) and spatial (direction-of-arrival, DOA) parameters of several replicas of a known signal in a...
Felix Antreich, Josef A. Nossek, Gonzalo Seco, A. ...