"This book evolved over the past ten years from a set of lecture notes developed while teaching the undergraduate Algorithms course at Berkeley and U.C. San Diego. Our way of ...
S. Dasgupta, C.H. Papadimitriou, and U.V. Vazirani
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
— In this paper we present an analysis of 3D line projections for central catadioptric cameras from a projective perspective. Most algorithms consider the projection of lines as ...
TheexactlikelihoodfunctionofaGaussianvectorautoregressive-movingaverage(VARMA)model is evaluated in two nonstandard cases: (a) a parsimonious structured form, such as obtained in ...
The algorithm designed in [12, 15] was the very first distributed algorithm to solve the mutual exclusion problem in complete networks by using a dynamic logical tree structure as...