570 search results - page 68 / 114 » Intrinsic Geometries in Learning |
EMNLP
2011
12 years 7 months ago
2011
We present an online learning algorithm for training parsers which allows for the inclusion of multiple objective functions. The primary example is the extension of a standard sup...
CORR
1999
Springer
13 years 7 months ago
1999
Springer
: There has been much discussion recently about the scope and limits of purely symbolic models of the mind and about the proper role of connectionism in cognitive modeling. This pa...
COMPGEOM
2009
ACM
14 years 2 months ago
2009
ACM
Nonlinear dimensionality reduction (NLDR) algorithms such as Isomap, LLE and Laplacian Eigenmaps address the problem of representing high-dimensional nonlinear data in terms of lo...
COMPGEOM
2009
ACM
14 years 2 months ago
2009
ACM
Integration over a domain, such as a Euclidean space or a Riemannian manifold, is a fundamental problem across scientific fields. Many times, the underlying domain is only acces...
ICCV
2005
IEEE
14 years 1 months ago
2005
IEEE
We propose a general method that parameterizes general surfaces with complex (possible branching) topology using Riemann surface structure. Rather than evolve the surface geometry...