This paper deals with the automated creation of ge-
ometric and photometric correct 3-D models of the
world. Those models can be used for virtual reality, tele–
presence, digital cinematography and urban planning ap-
plications. The combination of range (dense depth esti-
mates) and image sensing (color information) provides
data–sets which allow us to create geometrically correct,
photorealistic models of high quality.
APRIORI algorithm was originally proposed by Agrawal in "Fast Algorithms for Mining Association Rules" in 1994 to find frequent itemsets and association rules in a transaction database. Here you can download a fast, trie-based, command-line implementation
ConceptNet is a freely available commonsense knowledgebase and natural-language-processing toolkit which supports many practical textual-reasoning tasks over real-world documents right out-of-the-box.
This is a collection of libraries useful for machine learning and data mining. It requires Python 2.3 or 2.2 and the Orange machine learning framework library, both freely downloadable.
Fast Artificial Neural Network Library implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks.