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» Affective scene generation
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GECCO
2006
Springer
138views Optimization» more  GECCO 2006»
14 years 1 months ago
Does overfitting affect performance in estimation of distribution algorithms
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
Hao Wu, Jonathan L. Shapiro
CSL
2002
Springer
13 years 9 months ago
Learning visually grounded words and syntax for a scene description task
A spoken language generation system has been developed that learns to describe objects in computer-generated visual scenes. The system is trained by a `show-and-tell' procedu...
Deb K. Roy
ICIP
2010
IEEE
13 years 7 months ago
Combining free energy score spaces with information theoretic kernels: Application to scene classification
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
Manuele Bicego, Alessandro Perina, Vittorio Murino...
APGV
2009
ACM
14 years 4 months ago
On predicting visual popping in dynamic scenes
Popping is a major source of visual artifacts in dynamic scenes. To alleviate or avoid it, usually some temporal smoothing scheme is employed or levels of detail are chosen conser...
Michael Schwarz, Marc Stamminger
TAP
2008
Springer
101views Hardware» more  TAP 2008»
13 years 9 months ago
A gaze-based study for investigating the perception of visual realism in simulated scenes
on the perception of visual realism. This study suggests that post-recall or simple abstraction of visual experience is not accurate and the use of eye tracking provides an effecti...
Mohamed A. ElHelw, Marios Nicolaou, Adrian James C...