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SPIRE
2001
Springer
15 years 11 months ago
On Compression of Parse Trees
We consider methods for compressing parse trees, especially techniques based on statistical modeling. We regard a sequence of productions corresponding to a suffix of the path fr...
Jorma Tarhio
SSIAI
2000
IEEE
15 years 11 months ago
Modulation Domain Image Segmentation
We present a modulation domain technique for segmenting textured images modeled as 2-D multicomponent AMFM functions. A Gabor filterbank is used to derive estimates of the domina...
Tanachit Tangsukson, Joseph P. Havlicek
FOCS
1999
IEEE
15 years 11 months ago
Learning Mixtures of Gaussians
Mixtures of Gaussians are among the most fundamental and widely used statistical models. Current techniques for learning such mixtures from data are local search heuristics with w...
Sanjoy Dasgupta
IPPS
1998
IEEE
15 years 11 months ago
Implementing Parallelism in Random Discrete Event-Driven Simulation
Abstract. The inherently sequential nature of random discrete eventdriven simulation has made parallel and distributed processing di cult. This paper presents a method of applying ...
Marc Bumble, Lee D. Coraor
DIS
1998
Springer
15 years 11 months ago
Learning with Globally Predictive Tests
We introduce a new bias for rule learning systems. The bias only allows a rule learner to create a rule that predicts class membership if each test of the rule in isolation is pred...
Michael J. Pazzani