We propose a new rule induction algorithm for solving classification problems via probability estimation. The main advantage of decision rules is their simplicity and good interp...
This paper is a survey of the theory and methods of photogrammetric bundle adjustment, aimed at potential implementors in the computer vision community. Bundle adjustment is the p...
Bill Triggs, Philip F. McLauchlan, Richard I. Hart...
This paper surveys recent results in the area of virtual path layout in ATM networks. We present a model for the theoretical study of these layouts the model amounts to covering t...
We present several efficient dynamic data structures for point-enclosure queries, involving convex fat objects in R2 or R3. Our planar structures are actually fitted for a more ...
Alon Efrat, Matthew J. Katz, Frank Nielsen, Micha ...
This paper addresses a purely software-based solution to the multiprocessor cache coherence problem by structuring an operating system to provide for the coherence of its own data...