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» Deterministic algorithms for sampling count data
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ICGI
2004
Springer
14 years 25 days ago
Identifying Left-Right Deterministic Linear Languages
Abstract. Left deteministic linear languages are a subclass of the context free languages that includes all the regular languages. Recently was proposed an algorithm to identify in...
Jorge Calera-Rubio, José Oncina
BMCBI
2010
136views more  BMCBI 2010»
13 years 7 months ago
Bias correction and Bayesian analysis of aggregate counts in SAGE libraries
Background: Tag-based techniques, such as SAGE, are commonly used to sample the mRNA pool of an organism's transcriptome. Incomplete digestion during the tag formation proces...
Russell L. Zaretzki, Michael A. Gilchrist, William...
MVA
2007
129views Computer Vision» more  MVA 2007»
13 years 9 months ago
Multi Human Trajectory Estimation Using Stochastic Sampling and Its Application to Meeting Recognition
In this paper we present a stochastic sampling approach to estimate multiple human trajectory in the meeting. The algorithm is formalized as a energy minimization problem based on...
Yosuke Matsusaka, Hideki Asoh, Futoshi Asano
INFOCOM
2010
IEEE
13 years 5 months ago
High-Speed Per-Flow Traffic Measurement with Probabilistic Multiplicity Counting
On today's high-speed backbone network links, measuring per-flow traffic information has become very challenging. Maintaining exact per-flow packet counters on OC-192 or OC-76...
Peter Lieven, Björn Scheuermann
VTS
2005
IEEE
102views Hardware» more  VTS 2005»
14 years 1 months ago
An Efficient Random Jitter Measurement Technique Using Fast Comparator Sampling
This paper describes a random jitter measurement technique using simple algorithms and comparator sampling. The approach facilitates using Automated Test Equipment (ATE) to valida...
Dongwoo Hong, Cameron Dryden, Gordon Saksena