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PHASE SPACE ANALYSIS AND FUNCTIONAL CALCULUS FOR THE LINEARIZED LANDAU AND BOLTZMANN OPERATORS
"... doi:10.3934/xx.xx.xx.xx pp. X–XX ..."
1 NIMBLE: A kernel density model of saccade-based 23 visual memory 4 5
"... 21 saccadic visual memory. Our model, which we call NIMBLE (NIM with Bayesian Likelihood Estimation), uses a cognitively 22 plausible image sampling technique that provides a foveated representation of image patches. We conceive these 23 memorized image fragments as samples from image class distribu ..."
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distributions and model the memory of these fragments using 24 kernel density estimation. Using these models, we derive class-conditional probabilities of new image fragments and 25 combine individual fragment probabilities to classify images. Our Bayesian formulation of the model extends easily to 26 handle
1Non-Invertible Gabor Transforms
"... Time-frequency analysis, such as the Gabor transform, plays an important role in many signal processing applications. The redundancy of such representations is often directly related to the computational load of any algorithm operating in the transform domain. To reduce complexity, it may be desirab ..."
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the same Gabor representation as the input signal. The second, is based on the minimization of a worst-case error criterion. Last, we develop a recovery technique based on the assumption that the input signal lies in some subspace of L2. We show that for each of the criteria, the manipulation
Results 11 - 20
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507
