links for 2011-05-06

  • SimString is a simple library for fast approximate string retrieval. Approximate string retrieval finds strings in a database whose similarity with a query string is no smaller than a threshold. Finding not only identical but similar strings, approximate string retrieval has various applications including spelling correction, flexible dictionary matching, duplicate detection, and record linkage. SimString supports cosine, Jaccard, dice, and overlap coefficients as similarity measures. SimString uses letter n-grams as features for computing string similarity.
  • The Raspberry Pi Foundation is a UK registered charity (Registration Number 1129409) which exists to promote the study of computer science and related topics, especially at school level, and to put the fun back into learning computing. We plan to develop, manufacture and distribute an ultra-low-cost computer, for use in teaching computer programming to children. We expect this computer to have many other applications both in the developed and the developing world.
  • This library reads and writes ESRI Shapefiles in pure Python. You can read and write shp, shx, and dbf files with all types of geometry. Everything in the public ESRI shapefile specification is implemented.

links for 2011-05-03

  • SentiWordNet is a lexical resource for opinion mining. SentiWordNet assigns to each synset of WordNet three sentiment scores: positivity, negativity, objectivity. SentiWordNet is described in details in the papers:
  • he Scale Invariant Feature Transform (SIFT) is a method to detect distinctive, invariant image feature points, which easily can be matched between images to perform tasks such as object detection and recognition, or to compute geometrical transformations between images. The open-source SIFT library available here is implemented in C using the OpenCV open-source computer vision library and includes functions for computing SIFT features in images, matching SIFT features between images using kd-trees, and computing geometrical image transforms from feature matches using RANSAC. The library also includes functionality to import and work with image features from both David Lowe’s SIFT detector and the Oxford VGG’s affine covariant feature detectors. The images below depict some of this functionality.