This paper presents a method for fast computation of Hessian-based enhancement filters, whose conditions for identifying particular structures in medical images are associated only with the signs of Hessian eigenvalues.
The third paper, authored by J. Wu et al., presents a method for the simultaneous eye tracking and blink detection with interactive particle filters.
This paper presents a method for assessing the quality improvement of the electric power obtained by using compensation equipment based in active power filters, APF.
We present a method and a tool for retrieving scalar values for temporal and spatial locality and discuss caches as locality filters.
For this purpose, we have presented a method that exploits different information sources and combines them into a powerful probabilistic framework, inspired by the MCMC-based particle filters.
For example, the authors of [39] present a method for canceling a passband self-interference signal using adaptive filtering in the digital domain.
In order to overcome these challenges, we present an efficient ground filtering method for TLS data via a Scanline Density Analysis, which is very fast because it exploits the grid structure storing TLS data.
Therefore, we present a coherent filtering method for radio fingerprint data.
Therefore, we present a coherent filtering method for RSSI measurement data.
In this paper, we present a weighted median guided filtering method for rain removal with a single image.
Based on what was mentioned above, in an attempt to preserve more complex structures in the rain-removed images, in this paper, we present a weighted median guided filtering method for rain removal with a single image.
