30 search results - page 4 / 6 » Transfer Learning via Dimensionality Reduction |
IJCAI
2007
13 years 8 months ago
2007
Dimensionality reduction is a much-studied task in machine learning in which high-dimensional data is mapped, possibly via a non-linear transformation, onto a low-dimensional mani...
GRAPHITE
2007
ACM
13 years 11 months ago
2007
ACM
We present a data-driven technique for generating the precomputed radiance transfer vectors of an animated character as a function of its joint angles. We learn a linear model for...
SADM
2010
13 years 2 months ago
2010
This paper is concerned with classifying high dimensional data into one of two categories. In various settings, such as when dealing with fMRI and microarray data, the number of v...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
The seminal work of Hubel and Wiesel [14] and the vast amount of work that followed it prove that hierarchies of increasingly complex cells play a central role in cortical computa...
CVPR
2010
IEEE
13 years 9 months ago
2010
IEEE
The 3D reconstruction of a face from a single frontal image is an ill-posed problem. This is further accentuated when the face image is captured under different poses and/or compl...