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» Test Case Generation Based on State and Activity Models
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IROS
2007
IEEE
129views Robotics» more  IROS 2007»
15 years 10 months ago
Representability of human motions by factorial hidden Markov models
— This paper describes an improved methodology for human motion recognition and imitation based on Factorial Hidden Markov Models (FHMM). Unlike conventional Hidden Markov Models...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
146
Voted
IJAR
2010
152views more  IJAR 2010»
15 years 2 months ago
Structural-EM for learning PDG models from incomplete data
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
Jens D. Nielsen, Rafael Rumí, Antonio Salme...
CANDC
2009
ACM
15 years 10 months ago
Subliminal wiretapping
Subliminal Wiretapping is a subtly interactive artwork that utilizes random number generation modified through mindmatter effects to supply a continuous stream of words. Frequent,...
Shawn Lawson
124
Voted
DATAMINE
2006
117views more  DATAMINE 2006»
15 years 3 months ago
A Rule-Based Approach for Process Discovery: Dealing with Noise and Imbalance in Process Logs
Effective information systems require the existence of explicit process models. A completely specified process design needs to be developed in order to enact a given business proce...
Laura Maruster, A. J. M. M. Weijters, Wil M. P. va...
160
Voted
CONNECTION
2006
172views more  CONNECTION 2006»
15 years 3 months ago
Temporal sequence detection with spiking neurons: towards recognizing robot language instructions
We present an approach for recognition and clustering of spatio temporal patterns based on networks of spiking neurons with active dendrites and dynamic synapses. We introduce a n...
Christo Panchev, Stefan Wermter