Abstract. In this paper we propose a supervised method for the segmentation of masses in mammographic images. The algorithm starts with a selected pixel inside the mass, which has ...
This paper introduces a very compact yet discriminative video description, which allows example-based search in a large number of frames corresponding to thousands of hours of vide...
High-level query languages are an attractive interface for sensor networks, potentially relieving application programmers from the burdens of distributed, embedded programming. In ...
Joseph M. Hellerstein, Wei Hong, Samuel Madden, Ky...
We introduce a neural network, known as SONNETMAP, capable of automatic segmentation, learning and retrieval of melodies. SONNET-MAP is a synthesis of the SONNET (Self-Organizing ...
Abstract—The paper studies graded properties of MTL valued binary connectives, focusing on conjunctive connectives such as t-norms, uninorms, aggregation operators, or quasicopul...
Libor Behounek, Petr Cintula, Ulrich Bodenhofer, S...