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» Parameterized Modeling and Recognition of Activities
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ICPR
2008
IEEE
14 years 4 months ago
Back to the future: Robust foreground extraction with reversed-time background modeling
“Ghosts” arise in traditional background subtraction when an object starts to move, causing the exposed background to be labelled as a ghost foreground. With background model ...
Akhilesh Kumar Sinha, Prithwijit Guha, Amitabha Mu...
IROS
2009
IEEE
201views Robotics» more  IROS 2009»
14 years 4 months ago
Modeling tool-body assimilation using second-order Recurrent Neural Network
— Tool-body assimilation is one of the intelligent human abilities. Through trial and experience, humans are capable of using tools as if they are part of their own bodies. This ...
Shun Nishide, Tatsuhiro Nakagawa, Tetsuya Ogata, J...
CHI
2008
ACM
14 years 10 months ago
Experience sampling for building predictive user models: a comparative study
Experience sampling has been employed for decades to collect assessments of subjects' intentions, needs, and affective states. In recent years, investigators have employed au...
Ashish Kapoor, Eric Horvitz
ADAEUROPE
2001
Springer
14 years 2 months ago
Building Formal Requirements Models for Reliable Software
Requirements engineering (RE) is concerned with the elicitation of the goals to be achieved by the system envisioned, the operationalization of such goals into specifications of se...
Axel van Lamsweerde
SBRN
2000
IEEE
14 years 2 months ago
Non-Linear Modelling and Chaotic Neural Networks
This paper proposes a simple methodology to construct an iterative neural network which mimics a given chaotic time series. The methodology uses the Gamma test to identify a suita...
Antonia J. Jones, Steve Margetts, Peter Durrant, A...