Compressive Pattern Matching on Multispectral Data

Adaptive Pattern Matching on Binary Data

Pattern matching is an important operation in functional programs. So far, pattern matching has been investigated in the context of structured terms. This paper presents an approach to extend pattern matching to terms without (much of a) structure such as binaries which is the kind of data format that network applications typically manipulate. After introducing a notation for matching binary da...

Data Recovery Based on Intelligent Pattern Matching

To solve the problem of data recovery on free disk sectors, an approach of data recovering based on intelligent pattern matching is proposed in this paper. Different from the methods based on the file directory, this approach utilizes the consistency among the data on the disk. A feature pattern library is established based on different types of files according to the internal constructions of ...

Effect of Data Compression on Pattern Matching in Historical Data

It is a common practice in the process industry to compress process data before it is archived. However, compression may alter the original data in a manner that makes extracting useful information from it more difficult. In this paper, popular data compression methods and their effect on pattern matching in historical data are evaluated. Pattern matching is performed using principal-component ...

Entropy , Pattern Matching , and Data

Multispectral Image Dense Matching

We build a dataset including four kinds of multispectral images with labeled key point correspondence. The dataset includes 7 RGB/NIR image pairs, 4 RGB/Depth image pairs, 3 Flash/no-flash image pairs and 4 different exposure image pairs. In each pair, we uniformly select corner points and label their correspondences. The resolution of the RGB/Depth image pairs is 640 × 480 and all the other im...