This paper is a survey of semi-blind source separation approaches. Since Gaussian iid signals are not separable, simplest priors suggest to assume non Gaussian iid signals, or Gaussian non iid signals. Other priors can also been used, for instance discrete or bounded sources, positivity, etc. Although providing a generic framework for semi-blind source separation, Sparse Component Analysis and ...

Simultaneous localization and mapping (SLAM) using the whole image data is an appealing framework to address shortcoming of sparse feature-based methods – in particular frequent failures in textureless environments. Hence, direct methods bypassing the need of feature extraction and matching became recently popular. Many of these methods operate by alternating between pose estimation and computi...

This report deals with the use of points as surface rendering and modeling primitives. The main components of point-based rendering and modeling algorithms are identified, different approaches are discussed and compared. The weaknesses of current point-based techniques are pointed out and for some of them a possible solution is suggested. A new algorithm for depth-of-field rendering based on su...

BACKGROUND As microbial agents have been associated with late adverse effects related to fillers antibiotic treatment has been envisaged. OBJECTIVE To determine whether biomaterials favor bacterial growth and/or attract bacteria. METHODS Hyaluronic acid, semi-permanent fillers, such as calcium hydroxylapatite, and permanent fillers, such as polyalkylimide/polyacrylamide, were used. Experime...

OBJECTIVE Flexible and semi-flexible micro-endoscopes were used in cochlear scala tympani inspection , to explore their application in inner ear examination. METHOD Fifteen profound hearing loss patients preparing for cochlear implant were included in this study. During the operation, micro-endoscopy was performed after opening the cochlear scala tympani. And 1 mm diameter semi-flexible micro...

With increasing demand on intra-operative navigation and motion compensation during robotic assisted minimally invasive surgery, real-time 3D deformation recovery remains a central problem. Currently the majority of existing methods rely on salient features, where the inherent paucity of distinctive landmarks implies either a semi-dense reconstruction or the use of strong geometrical constraint...

In this paper we establish c-bit semi-external graph algorithms, – i.e., algorithms which need only a constant number c of bits per vertex in the internal memory. In this setting, we obtain new trade-offs between time and space for I/O efficient LTL model checking. First, we design a c-bit semi-external algorithm for depth-first search. To achieve a low internal memory consumption, we construct...

Recurrent neural networks (RNNs) are connectionist models of sequential data that are naturally applicable to the analysis of natural language. Recently, “depth in space” — as an orthogonal notion to “depth in time” — in RNNs has been investigated by stacking multiple layers of RNNs and shown empirically to bring a temporal hierarchy to the architecture. In this work we apply these deep RNNs to...