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» Fitting hidden Markov models to psychological data
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CIDM
2007
IEEE
14 years 1 months ago
Analysis of streaming GPS measurements of surface displacement through a web services environment
Abstract— We present a method for performing mode classification of real-time streams of GPS surface position data. Our approach has two parts: an algorithm for robust, unconstr...
Robert Granat, Galip Aydin, Marlon E. Pierce, Zhig...
EUROPAR
2007
Springer
14 years 1 months ago
Esodyp+: Prefetching in the Jackal Software DSM
Abstract. Prefetching transfers a data item in advance from its storage location to its usage location so that communication is hidden and does not delay computation. We present a ...
Michael Klemm, Jean Christophe Beyler, Ronny T. La...
IJCAI
2003
13 years 9 months ago
Where is ...? Learning and Utilizing Motion Patterns of Persons with Mobile Robots
Whenever people move through their environments they do not move randomly. Instead, they usually follow specific trajectories or motion patterns corresponding to their intentions....
Grzegorz Cielniak, Maren Bennewitz, Wolfram Burgar...
ICASSP
2010
IEEE
13 years 7 months ago
HMM-based separation of acoustic transfer function for single-channel sound source localization
This paper presents a sound source (talker) localization method using only a single microphone, where a HMM (Hidden Markov Model) of clean speech is introduced to estimate the aco...
Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki
TCSV
2008
102views more  TCSV 2008»
13 years 7 months ago
Semantic Analysis for Automatic Event Recognition and Segmentation of Wedding Ceremony Videos
Wedding is one of the most important ceremonies in our lives. It symbolizes the birth and creation of a new family. In this paper, we present a system for automatically segmenting ...
Wen-Huang Cheng, Yung-Yu Chuang, Yin-Tzu Lin, Chi-...