1172 search results - page 23 / 235 » From Data Distributions to Regularization in Invariant Learn... |
139
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HLK
2003
IEEE
15 years 8 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...
128
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NIPS
2008
15 years 5 months 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...
105
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ICML
2006
IEEE
16 years 4 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...
125
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UAI
2003
15 years 4 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...
148
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ICASSP
2010
IEEE
15 years 3 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...