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127
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AUSAI
2008
Springer
15 years 3 months ago
Learning to Find Relevant Biological Articles without Negative Training Examples
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...
Keith Noto, Milton H. Saier Jr., Charles Elkan
EMNLP
2007
15 years 3 months ago
Learning to Find English to Chinese Transliterations on the Web
We present a method for learning to find English to Chinese transliterations on the Web. In our approach, proper nouns are expanded into new queries aimed at maximizing the probab...
Jian-Cheng Wu, Jason S. Chang
102
Voted
ICPR
2002
IEEE
16 years 2 months ago
Reliable and Fast Eye Finding in Close-up Images
This paper describes a method for quickly and robustly localizing the iris and pupil boundaries of a human eye in close-up images. Such an algorithm can be critical for iris ident...
Theodore A. Camus, Richard P. Wildes
MDM
2009
Springer
116views Communications» more  MDM 2009»
15 years 8 months ago
Finding Probabilistic Nearest Neighbors for Query Objects with Imprecise Locations
—A nearest neighbor query is an important notion in spatial databases and moving object databases. In the emerging application fields of moving object technologies, such as mobi...
Yuichi Iijima, Yoshiharu Ishikawa
ICTAI
2008
IEEE
15 years 8 months ago
Finding Good Starting Points for Solving Structured and Unstructured Nonlinear Constrained Optimization Problems
In this paper, we develop heuristics for finding good starting points when solving large-scale nonlinear constrained optimization problems (COPs). We focus on nonlinear programmi...
Soomin Lee, Benjamin W. Wah