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» Approximate Learning of Dynamic Models
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ECAL
2005
Springer
15 years 6 months ago
Valency for Adaptive Homeostatic Agents: Relating Evolution and Learning
This paper introduces a novel study on the sense of valency as a vital process for achieving adaptation in agents through evolution and developmental learning. Unlike previous stud...
Theodoros Damoulas, Ignasi Cos-Aguilera, Gillian M...
CVPR
2010
IEEE
16 years 1 months ago
Clustering Dynamic Textures with the Hierarchical EM Algorithm
The dynamic texture (DT) is a probabilistic generative model, defined over space and time, that represents a video as the output of a linear dynamical system (LDS). The DT model ...
Antoni Chan, Emanuele Coviello, Gert Lanckriet
ECCV
2004
Springer
16 years 6 months ago
Extraction of Semantic Dynamic Content from Videos with Probabilistic Motion Models
Abstract. The exploitation of video data requires to extract information at a rather semantic level, and then, methods able to infer "concepts" from low-level video featu...
Gwenaëlle Piriou, Jian-Feng Yao, Patrick Bout...
FGR
2011
IEEE
209views Biometrics» more  FGR 2011»
14 years 8 months ago
Modeling hidden dynamics of multimodal cues for spontaneous agreement and disagreement recognition
— This paper attempts to recognize spontaneous agreement and disagreement based only on nonverbal multimodal cues. Related work has mainly used verbal and prosodic cues. We demon...
Konstantinos Bousmalis, Louis-Philippe Morency, Ma...
TSMC
2008
113views more  TSMC 2008»
15 years 4 months ago
Computational Methods for Verification of Stochastic Hybrid Systems
Stochastic hybrid system (SHS) models can be used to analyze and design complex embedded systems that operate in the presence of uncertainty and variability. Verification of reacha...
Xenofon D. Koutsoukos, Derek Riley