Results 101 to 110 of about 1,177,560 (190)

Sparse kernel modelling: a unified approach

open access: yes, 2007
A unified approach is proposed for sparse kernel data modelling that includes regression and classification as well as probability density function estimation. The orthogonal-least-squares forward selection method based on the leave-one-out test criteria
Hong, X., Harris, C.J., Chen, S.
core   +1 more source

Sparse 3D Reconstruction via Object-Centric Ray Sampling [PDF]

open access: yes
We propose a novel method for 3D object reconstruction from a sparse set of views captured from a 360-degree calibrated camera rig. We represent the object surface through a hybrid model that uses both an MLP-based neural representation and a triangle ...
Favaro, Paolo, Cerkezi, Llukman
core  

Distance Reconstruction of Sparse Random Graphs

open access: yesCoRR
In the distance query model, we are given access to the vertex set of a $n$-vertex graph $G$, and an oracle that takes as input two vertices and returns the distance between these two vertices in $G$. We study how many queries are needed to reconstruct the edge set of $G$ when $G$ is sampled according to the $G(n,p)$ Erdős-Renyi-Gilbert distribution ...
openaire   +2 more sources

Sparse Reconstructions for Inverse PDE Problems

open access: yes, 2009
We are concerned with the numerical solution of linear parameter identification problems for parabolic PDE, written as an operator equation $Ku=f$. The target object $u$ is assumed to have a sparse expansion with respect to a wavelet system $Psi={psi_lambda}$ in space-time, being equivalent to a priori information on the regularity of $u=mathbf u ...
openaire   +4 more sources

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