Document skew estimation is an important step in the process of document analysis. In this paper we discuss the properties of the distance transform of binarized documents and der...
Itay Bar Yosef, Nate Hagbi, Klara Kedem, Its'hak D...
In this paper, we introduce a method to express a local linear operated in the neighbourhood of each point in the discrete space as a matrix transform. To derive matrix expressions...
Hexagonal mesh and torus, as well as honeycomb and certain other pruned torus networks, are known to belong to the class of Cayley graphs which are node-symmetric and possess othe...
Abstract. Categorization is a central task in cognitive science and artificial intelligence. Efficient reasoning about categories is becoming of great importance as intelligent a...
We derive generalization bounds for learning algorithms based on their robustness: the property that if a testing sample is "similar" to a training sample, then the test...