We propose a probabilistic formulation of 3D segmentation given a series of images from calibrated cameras. Instead of segmenting each image separately in order to build a 3D surfa...
Abstract. Finding correlation clusters in the arbitrary subspaces of highdimensional data is an important and a challenging research problem. The current state-of-the-art correlati...
Classification based on k-nearest neighbors (kNN classification) is one of the most widely used classification methods. The number k of nearest neighbors used for achieving a high ...
Abstract. The design flow of systems-on-a-chip (SoCs) identifies several abstraction levels higher than the Register-Transfer-Level that constitutes the input of the synthesis tool...
Claude Helmstetter, Florence Maraninchi, Laurent M...
A central problem in information retrieval is the automated classification of text documents. While many existing methods achieve good levels of performance, they generally require...