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CSDA
2007
116views more  CSDA 2007»
13 years 8 months ago
Exploring the state sequence space for hidden Markov and semi-Markov chains
The knowledge of the state sequences that explain a given observed sequence for a known hidden Markovian model is the basis of various methods that may be divided into three categ...
Yann Guédon
DKE
2007
130views more  DKE 2007»
13 years 8 months ago
Enabling access-privacy for random walk based data analysis applications
Random walk graph and Markov chain based models are used heavily in many data and system analysis domains, including web, bioinformatics, and queuing. These models enable the desc...
Ping Lin, K. Selçuk Candan
NLE
2008
118views more  NLE 2008»
13 years 8 months ago
Part-of-speech tagging of Modern Hebrew text
Words in Semitic texts often consist of a concatenation of word segments, each corresponding to a Part-of-Speech (POS) category. Semitic words may be ambiguous with regard to thei...
Roy Bar-Haim, Khalil Sima'an, Yoad Winter
QUESTA
2006
73views more  QUESTA 2006»
13 years 8 months ago
Handling load with less stress
Abstract We study how the average performance of a system degrades as the load nears its peak capacity. We restrict our attention to the performance measures of average sojourn tim...
Nikhil Bansal, David Gamarnik
TIP
2008
85views more  TIP 2008»
13 years 8 months ago
A Scale-Based Connected Coherence Tree Algorithm for Image Segmentation
This paper presents a connected coherence tree algorithm (CCTA) for image segmentation with no prior knowledge. It aims to find regions of semantic coherence based on the proposed ...
Jundi Ding, RuNing Ma, Songcan Chen