202 search results - page 16 / 41 » Privacy-preservation for gradient descent methods |
110
click to vote
ICAISC
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. We propose a non-standard neural network called TPNN which offers the direct mapping from a peptide sequence to a property of interest in order to model the quantitative ...
SCALESPACE
2007
Springer
15 years 5 months ago
2007
Springer
Recently, the Sobolev metric was introduced to define gradient flows of various geometric active contour energies. It was shown that the Sobolev metric out-performs the tradition...
119
click to vote
IJACTAICIT
2010
14 years 6 months ago
2010
In this paper, a recurrent neural network based fuzzy inference system (RNFIS) for prediction is proposed. A recurrent network is embedded in the RNFIS by adding feedback connecti...
132
click to vote
JMLR
2012
13 years 2 months ago
2012
In recent years there has been a lot of interest in designing principled classification algorithms over multiple cues, based on the intuitive notion that using more features shou...
IVC
2007
14 years 11 months ago
2007
Recently, an optimization approach for fast visual tracking of articulated structures based on Stochastic Meta-Descent (SMD) [7] has been presented. SMD is a gradient descent with...