1172 search results - page 23 / 235 » From Data Distributions to Regularization in Invariant Learn... |
HLK
2003
IEEE
14 years 3 months ago
2003
IEEE
Three-dimensional morphable models of object classes are a powerful tool in modeling, animation and recognition. We introduce here the new concept of regularized 3D morphable mode...
NIPS
2008
14 years 2 days ago
2008
Kernel supervised learning methods can be unified by utilizing the tools from regularization theory. The duality between regularization and prior leads to interpreting regularizat...
ICML
2006
IEEE
14 years 11 months ago
2006
IEEE
We present a new approach to personalized handwriting recognition. The problem, also known as writer adaptation, consists of converting a generic (user-independent) recognizer int...
UAI
2003
13 years 12 months ago
2003
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
ICASSP
2010
IEEE
13 years 10 months ago
2010
IEEE
In this paper, we examine the problem of learning from noisecontaminated data in high-dimensional space. A new learning approach based on projections onto multi-dimensional ellips...