A Fast Sparse-Data-Scan System Using CAMAC Compatible Elements

Fast Matlab compatible sparse assembly on multicore computers

We develop and implement in this paper a fast sparse assembly algorithm, the fundamental operation which creates a compressed matrix from raw index data. Since it is often a quite demanding and sometimes critical operation, it is of interest to design a highly efficient implementation. We show how to do this, and moreover, we show how our implementation can be parallelized to utilize the power ...

Fast Learning from Sparse Data

We describe two techniques that significantly improve the running time of several standard machine-learning algorithms when data is sparse. The first technique is an algorithm that efficiently extracts one-way and two-way counts—either real or expected— from discrete data. Extracting such counts is a fundamental step in learning algorithms for constructing a variety of models including decision...

A New Fast Data Encryption Algorithm (FDE)

Combination of Sparse Scan and Dense Scan for Fast Vision-based Object Recognition

Real-time processing speed is desirable for most vision-based object recognition systems. It is critical in some applications such as driver assistant systems (DAS). In DAS, the vision-based system is expected to operate on a moving platform and the system is required to inform the driver in a timely manner. Therefore, real-time frame rate is very important. Much improvement has been made over ...

A New Fast Data Encryption Algorithm (FDE)