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DAGM
2008
Springer
15 years 8 months ago
Approximate Parameter Learning in Conditional Random Fields: An Empirical Investigation
We investigate maximum likelihood parameter learning in Conditional Random Fields (CRF) and present an empirical study of pseudo-likelihood (PL) based approximations of the paramet...
Filip Korc, Wolfgang Förstner
SDM
2007
SIAM
126views Data Mining» more  SDM 2007»
15 years 8 months ago
Nonlinear Dimensionality Reduction using Approximate Nearest Neighbors
Nonlinear dimensionality reduction methods often rely on the nearest-neighbors graph to extract low-dimensional embeddings that reliably capture the underlying structure of high-d...
Erion Plaku, Lydia E. Kavraki
EACL
2006
ACL Anthology
15 years 8 months ago
Online Learning of Approximate Dependency Parsing Algorithms
In this paper we extend the maximum spanning tree (MST) dependency parsing framework of McDonald et al. (2005c) to incorporate higher-order feature representations and allow depen...
Ryan T. McDonald, Fernando C. N. Pereira
PVLDB
2010
200views more  PVLDB 2010»
15 years 4 months ago
SAPPER: Subgraph Indexing and Approximate Matching in Large Graphs
With the emergence of new applications, e.g., computational biology, new software engineering techniques, social networks, etc., more data is in the form of graphs. Locating occur...
Shijie Zhang, Jiong Yang, Wei Jin
ICASSP
2011
IEEE
14 years 10 months ago
Linear manifold approximation based on differences of tangents
In this paper, we consider the problem of manifold approximation with affine subspaces. Our objective is to discover a set of low dimensional affine subspaces that represents ma...
Sofia Karygianni, Pascal Frossard