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» Sparseness Achievement in Hidden Markov Models
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ICRA
2003
IEEE
131views Robotics» more  ICRA 2003»
14 years 25 days ago
Sky/ground modeling for autonomous MAV flight
Abstract— Recently, we have implemented a computervision based horizon-tracking algorithm for flight stability and autonomy in Micro Air Vehicles (MAVs) [1]. Occasionally, this ...
Sinisa Todorovic, Michael C. Nechyba, Peter G. Ifj...
EDM
2010
160views Data Mining» more  EDM 2010»
13 years 9 months ago
Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System
Functional magnetic resonance imaging (fMRI) data were collected while students worked with a tutoring system that taught an algebra isomorph. A cognitive model predicted the distr...
Jon M. Fincham, John R. Anderson, Shawn Betts, Jen...
ICPR
2008
IEEE
14 years 2 months ago
Enhanced speaker recognition based on intra-modal fusion and accent modeling
Speaker recognition systems, even though they have been around for four decades, have not been widely considered as standalone systems for biometric security because of their unac...
Srikanth Mangayyagari, Tanmoy Islam, Ravi Sankar
EMNLP
2009
13 years 5 months ago
The infinite HMM for unsupervised PoS tagging
We extend previous work on fully unsupervised part-of-speech tagging. Using a non-parametric version of the HMM, called the infinite HMM (iHMM), we address the problem of choosing...
Jurgen Van Gael, Andreas Vlachos, Zoubin Ghahraman...
PERCOM
2007
ACM
14 years 7 months ago
Sensor Scheduling for Optimal Observability Using Estimation Entropy
We consider sensor scheduling as the optimal observability problem for partially observable Markov decision processes (POMDP). This model fits to the cases where a Markov process ...
Mohammad Rezaeian