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» Semi-Markov Models for Sequence Segmentation
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INFOCOM
2003
IEEE
13 years 10 months ago
Asymptotic Insensitivity of Least-Recently-Used Caching to Statistical Dependency
Abstract— We investigate a widely popular Least-RecentlyUsed (LRU) cache replacement algorithm with semi-Markov modulated requests. Semi-Markov processes provide the flexibility...
Predrag R. Jelenkovic, Ana Radovanovic
ICPR
2010
IEEE
14 years 7 days ago
Typographical Features for Scene Text Recognition
Scene text images feature an abundance of font style variety but a dearth of data in any given query. Recognition methods must be robust to this variety or adapt to the query data...
Jerod Weinman
ACL
2012
11 years 7 months ago
Automatic Event Extraction with Structured Preference Modeling
This paper presents a novel sequence labeling model based on the latent-variable semiMarkov conditional random fields for jointly extracting argument roles of events from texts. ...
Wei Lu, Dan Roth
ICRA
2005
IEEE
150views Robotics» more  ICRA 2005»
13 years 11 months ago
Learning Sensor Network Topology through Monte Carlo Expectation Maximization
— We consider the problem of inferring sensor positions and a topological (i.e. qualitative) map of an environment given a set of cameras with non-overlapping fields of view. In...
Dimitri Marinakis, Gregory Dudek, David J. Fleet
INFOCOM
2003
IEEE
13 years 10 months ago
Chaotic Maps as Parsimonious Bit Error Models of Wireless Channels
Abstract—The error patterns of a wireless digital communication channel can be described by looking at consecutively correct or erroneous bits (runs and bursts) and at the distri...
Andreas Köpke, Andreas Willig, Holger Karl