Aggregation of Gabor wavelets and curvelets with PCA for efficient retrieval of face images | DeepDyve
Aggregation of Gabor wavelets and curvelets with PCA for efficient retrieval of face images | DeepDyve
Sep 16, 2010
deepdyve.com
String Theory Lecture 2In Conformal Gauge, the String Becomes a Wave EquationEpisode 1 showed the geometric jumppoint particle -> worldlinestring -> worldsheetEpisode 2 is the dynamical jump.The Nambu-Goto action measures the area of the worldsheet,S = −T ∫ dτ dσ √[−det hₐᵦ]but the square-root determinant is awkward to work with. So we usually rewrite the same classical theory in Polyakov form,S = −(T/2) ∫ dτ dσ √[−γ] γᵃᵇ ∂ₐXᵘ ∂ᵦXᵤHere Xᵘ(τ,σ) tells us where each point of the string’s worldsheet
0:30
String Theory Lecture 2In Conformal Gauge, the String Becomes a Wave EquationEpisode 1 showed the geometric jumppoint particle -> worldlinestring -> worldsheetEpisode 2 is the dynamical jump.The Nambu-Goto action measures the area of the worldsheet,S = −T ∫ dτ dσ √[−det hₐᵦ]but the square-root determinant is awkward to work with. So we usually rewrite the same classical theory in Polyakov form,S = −(T/2) ∫ dτ dσ √[−γ] γᵃᵇ ∂ₐXᵘ ∂ᵦXᵤHere Xᵘ(τ,σ) tells us where each point of the string’s worldsheet
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x.comMathelirium
My Gabor wavelet image trainer (n=256) got a big boost from a "warm start" prediction model I trained on >3,000 results, instead of just randomly initializing each instance. Now I'm able to get a decent fit in ~100 iterations instead of it taking over 800 to get there.
1:55
My Gabor wavelet image trainer (n=256) got a big boost from a "warm start" prediction model I trained on >3,000 results, instead of just randomly initializing each instance. Now I'm able to get a decent fit in ~100 iterations instead of it taking over 800 to get there.
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