Polynomial Regression on Riemannian Manifolds
Polynomial Regression on Riemannian Manifolds
Polynomial Regression on Riemannian Manifolds
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For first term, T 1 = ∫ T<br />
0 〈λ 0, γ˙<br />
s 〉dt<br />
d<br />
ds T 1(γ s )| s=0 = d ds<br />
=<br />
=<br />
∫ T<br />
0<br />
∫ T<br />
0<br />
∫ T<br />
0<br />
〈λ 0 , γ˙<br />
s 〉dt| s=0<br />
〈∇ W λ 0 , γ˙<br />
s 〉 + 〈λ 0 , ∇ W γ˙<br />
s 〉dt| s=0<br />
〈0, γ˙<br />
s 〉 + 〈λ 0 , ∇ ˙γ W 〉dt| s=0<br />
= [〈λ 0 , W 〉] T 0 −<br />
∫ T<br />
Variati<strong>on</strong> of this term with respect to γ is<br />
0<br />
δ γ(t) T 1 = −∇ ˙γ λ 0<br />
δ γ(T ) T 1 = 0 = λ 0 (T )<br />
δ γ(0) T 1 = −λ 0 (0)<br />
〈∇ ˙γ λ 0 , W 〉dt<br />
<str<strong>on</strong>g>Polynomial</str<strong>on</strong>g> <str<strong>on</strong>g>Regressi<strong>on</strong></str<strong>on</strong>g> <strong>on</strong> <strong>Riemannian</strong> <strong>Manifolds</strong> 13