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» A Linguistic Theory of Robustness
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NAACL
1994
14 years 11 months ago
Integrated Techniques for Phrase Extraction from Speech
We present an integrated approach to speech and natural language processing which uses a single parser to create training for a statistical speech recognition component and for in...
Marie Meteer, Jan Robin Rohlicek
ICCV
2001
IEEE
15 years 11 months ago
Robust Principal Component Analysis for Computer Vision
Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...
Fernando De la Torre, Michael J. Black
ICASSP
2010
IEEE
14 years 10 months ago
Robust regression using sparse learning for high dimensional parameter estimation problems
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
ADAC
2008
193views more  ADAC 2008»
14 years 10 months ago
A constrained-optimization based half-quadratic algorithm for robustly fitting sets of linearly parametrized curves
We consider the problem of multiple fitting of linearly parametrized curves, that arises in many computer vision problems such as road scene analysis. Data extracted from images us...
Jean-Philippe Tarel, Sio-Song Ieng, Pierre Charbon...
CONTEXT
2007
Springer
15 years 4 months ago
Thai Text Coherence Structuring with Coordinating and Subordinating Relations for Text Summarization
Text summarization with the consideration of coherence can be achieved by using discourse processing with the Rhetorical Structure Theory (RST). Additional problems on relational a...
Thana Sukvaree, Asanee Kawtrakul, Jean Caelen