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JMLR
2012
13 years 1 months ago
Hierarchical Latent Dictionaries for Models of Brain Activation
In this work, we propose a hierarchical latent dictionary approach to estimate the timevarying mean and covariance of a process for which we have only limited noisy samples. We fu...
Alona Fyshe, Emily B. Fox, David B. Dunson, Tom M....
ICCV
2009
IEEE
16 years 3 months ago
Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems
We use concepts from chaos theory in order to model nonlinear dynamical systems that exhibit deterministic behavior. Observed time series from such a system can be embedded into...
Arslan Basharat, Mubarak Shah
CVPR
2000
IEEE
16 years 17 days ago
A Computational Model for Repeated Pattern Perception Using Frieze and Wallpaper Groups
Humans have an innate ability to perceive symmetry, but it is not obvious how to automate this powerful insight. In this paper the mathematical theory of Frieze and wallpaper grou...
Yanxi Liu, Robert T. Collins
CVPR
2006
IEEE
16 years 17 days ago
An Integrated Model of Top-Down and Bottom-Up Attention for Optimizing Detection Speed
Integration of goal-driven, top-down attention and image-driven, bottom-up attention is crucial for visual search. Yet, previous research has mostly focused on models that are pur...
Vidhya Navalpakkam, Laurent Itti
ICCV
2007
IEEE
16 years 15 days ago
Enabling Users to Guide the Design of Robust Model Fitting Algorithms
Model-based image interpretation extracts high-level information from images using a priori knowledge about the object of interest. The computational challenge in model fitting is...
Matthias Wimmer, Freek Stulp, Bernd Radig