Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
Distributed systems increasingly span organizational boundaries and, with this, system and service management domains. Web services are the primary means of exposing services to c...
Bruno Wassermann, Heiko Ludwig, Jim Laredo, Kamal ...
Understanding the detailed behavior of an operating system is crucial for making informed design decisions. But such an understanding is very hard to achieve, due to the increasin...
Yoav Etsion, Dan Tsafrir, Scott Kirkpatrick, Dror ...
When projectors are used to display images on complex, non-planar surface geometry, indirect illumination between the surfaces will disrupt the final appearance of this imagery, ...
In this paper, we address the issue of learning nonlinearly separable concepts with a kernel classifier in the situation where the data at hand are altered by a uniform classific...