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» On Natural Mobility Models
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CVPR
2007
IEEE
16 years 5 months ago
What makes a good model of natural images?
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
Yair Weiss, William T. Freeman
TSMC
2008
95views more  TSMC 2008»
15 years 3 months ago
Natural Movement Generation Using Hidden Markov Models and Principal Components
Recent studies have shown that the perception of natural movements--in the sense of being "humanlike"--depends on both joint and task space characteristics of the movemen...
Junghyun Kwon, Frank C. Park
142
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CIARP
2004
Springer
15 years 8 months ago
Detecting Inflection Patterns in Natural Language by Minimization of Morphological Model
One of the most important steps in text processing and information retrieval is stemming—reducing of words to stems expressing their base meaning, e.g., bake, baked, bakes, bakin...
Alexander F. Gelbukh, Mikhail Alexandrov, Sang-Yon...
ICIP
2005
IEEE
15 years 9 months ago
Multi-dimensional infinitely divisible cascades to model the statistics of natural images
Infinitely divisible cascades (IDC) were first introduced in one dimension to provide multifractal time series to model the so-called intermittency phenomenon in hydrodynamical ...
Pierre Chainais
NIPS
2008
15 years 4 months ago
Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images
We propose a novel hierarchical, nonlinear model that predicts brain activity in area V1 evoked by natural images. In the study reported here brain activity was measured by means ...
Pradeep Ravikumar, Vincent Q. Vu, Bin Yu, Thomas N...