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» Transformations for semi-continuous data
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EACL
2006
ACL Anthology
15 years 5 months ago
Adaptive Transformation-Based Learning for Improving Dictionary Tagging
We present an adaptive technique that enables users to produce a high quality dictionary parsed into its lexicographic components (headwords, pronunciations, parts of speech, tran...
Burcu Karagol-Ayan, David S. Doermann, Amy Weinber...
NIPS
2004
15 years 5 months ago
Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning
We present an algorithm based on convex optimization for constructing kernels for semi-supervised learning. The kernel matrices are derived from the spectral decomposition of grap...
Xiaojin Zhu, Jaz S. Kandola, Zoubin Ghahramani, Jo...
CLIN
2000
15 years 5 months ago
Transforming a Chunker to a Parser
Ever since the landmark paper Ramshaw and Marcus (1995), machine learning systems have been used successfully for identifying base phrases (chunks), the bottom constituents of a p...
Erik F. Tjong Kim Sang
WSCG
2003
174views more  WSCG 2003»
15 years 5 months ago
An Efficient Algorithm for Codebook Design in Transform Vector Quantization
In this paper, a new wavelet-domain codebook design algorithm is proposed for image coding. The method utilizes mean-squared error and variance based selection schemes for good cl...
Momotaz Begum, Nurun Nahar, Kaneez Fatimah, M. K. ...
SIGGRAPH
1999
ACM
15 years 8 months ago
Shape Transformation Using Variational Implicit Functions
Traditionally, shape transformation using implicit functions is performed in two distinct steps: 1) creating two implicit functions, and 2) interpolating between these two functio...
Greg Turk, James F. O'Brien