We study solutions to the problem of evaluating image similarity in the context of content-based image retrieval (CBIR). Retrieval is formulated as a classification problem, wher...
The well-known backpropagation (BP) derivative computation process for multilayer perceptrons (MLP) learning can be viewed as a simplified version of the Kelley-Bryson gradient f...
In the Support Vector Machines (SVM) framework, the positive-definite kernel can be seen as representing a fixed similarity measure between two patterns, and a discriminant func...
Although classical object-oriented programming languages provide high-level modeling capacities t data type, inheritance etc.), they remain low-level when it comes to data manipul...
We present a simple generic framework to solve constraints on any domain (finite or infinite) which has a lattice structure. The approach is based on the use of a single constrai...