Two-dimensional (2D) optimal filter for highly nonstationary 2D signal estimation is developed. It is based on the real-time results of space/spatial-frequency (S/SF) analysis, on...
Veselin N. Ivanovic, Nevena Radovic, Srdjan Jovano...
We consider the problem of evaluating large numbers of XPath filters, each with many predicates, on a stream of XML documents. The solution we propose is to lazily construct a sin...
— Bloom filters are a well known data structure for approximate set membership. Bloom filters are space efficient but require many independent hashes and consecutive memory acces...
Particle filter is a sequential Monte Carlo method for object tracking in a recursive Bayesian filtering framework. The efficiency and accuracy of the particle filter depends on t...
We present a hardware-accelerated method for rendering high quality, antialiased shadows using the shadow map approach. Instead of relying on dedicated hardware support for shadow...