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EMNLP
2009
13 years 5 months ago
Generalized Expectation Criteria for Bootstrapping Extractors using Record-Text Alignment
Traditionally, machine learning approaches for information extraction require human annotated data that can be costly and time-consuming to produce. However, in many cases, there ...
Kedar Bellare, Andrew McCallum
ICCV
2003
IEEE
14 years 9 months ago
Cumulative Residual Entropy, A New Measure of Information & its Application to Image Alignment
In this paper we use the cumulative distribution of a random variable to define the information content in it and use it to develop a novel measure of information that parallels S...
Fei Wang, Baba C. Vemuri, Murali Rao, Yunmei Chen
IPMI
2003
Springer
14 years 8 months ago
A New & Robust Information Theoretic Measure and Its Application to Image Alignment
In this paper we develop a novel measure of information in a random variable based on its cumulative distribution that we dub cumulative residual entropy (CRE). This measure parall...
Fei Wang, Baba C. Vemuri, Murali Rao, Yunmei Chen
FGR
2008
IEEE
240views Biometrics» more  FGR 2008»
14 years 2 months ago
Face recognition and alignment using support vector machines
Face recognition in the presence of pose changes remains a largely unsolved problem. Severe pose changes, resulting in dramatically different appearances, is one of the main difï¬...
Antony Lam, Christian R. Shelton
IJCV
2000
74views more  IJCV 2000»
13 years 7 months ago
Meaningful Alignments
We propose a method for detecting geometric structures in an image, without any a priori information. Roughly speaking, we say that an observed geometric event is "meaningful&...
Agnès Desolneux, Lionel Moisan, Jean-Michel...