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CIKM
2008
Springer
13 years 10 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
EMNLP
2010
13 years 6 months ago
A New Approach to Lexical Disambiguation of Arabic Text
We describe a model for the lexical analysis of Arabic text, using the lists of alternatives supplied by a broad-coverage morphological analyzer, SAMA, which include stable lemma ...
Rushin Shah, Paramveer S. Dhillon, Mark Liberman, ...
CMIG
2011
168views more  CMIG 2011»
13 years 5 hour ago
Comparing axial CT slices in quantized N-dimensional SURF descriptor space to estimate the visible body region
In this paper, a method is described to automatically estimate the visible body region of a computed tomography (CT) volume image. In order to quantify the body region, a body coo...
Johannes Feulner, Shaohua Kevin Zhou, Elli Angelop...
COMPSAC
2003
IEEE
14 years 1 months ago
An Object-Passing Model for Parallel Programming
This paper introduces an object-passing model for parallel and distributed application development. Object passing provides the object-oriented application developer with powerful...
Jameela Al-Jaroodi, Nader Mohamed
VISUALIZATION
2000
IEEE
14 years 24 days ago
A flow-guided streamline seeding strategy
This paper presents a seed placement strategy for streamlines based on flow features in the dataset. The primary goal of our seeding strategy is to capture flow patterns in the ...
Vivek Verma, David T. Kao, Alex Pang