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» Performance evaluation for text processing of noisy inputs
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AIR
2004
113views more  AIR 2004»
13 years 8 months ago
Class Noise vs. Attribute Noise: A Quantitative Study
Real-world data is never perfect and can often suffer from corruptions (noise) that may impact interpretations of the data, models created from the data and decisions made based on...
Xingquan Zhu, Xindong Wu
WWW
2010
ACM
14 years 3 months ago
A scalable machine-learning approach for semi-structured named entity recognition
Named entity recognition studies the problem of locating and classifying parts of free text into a set of predefined categories. Although extensive research has focused on the de...
Utku Irmak, Reiner Kraft
MM
2005
ACM
139views Multimedia» more  MM 2005»
14 years 1 months ago
Multimodal affect recognition in learning environments
We propose a multi-sensor affect recognition system and evaluate it on the challenging task of classifying interest (or disinterest) in children trying to solve an educational pu...
Ashish Kapoor, Rosalind W. Picard
CVIU
2004
143views more  CVIU 2004»
13 years 8 months ago
Shape matching of partially occluded curves invariant under projective transformation
This paper describes a method to identify partially occluded shapes which are randomly oriented in 3D space. The goal is to match the object contour present in an image with an ob...
Carlos Orrite, José Elías Herrero Ja...
INFOCOM
2002
IEEE
14 years 1 months ago
Increasing robustness of fault localization through analysis of lost, spurious, and positive symptoms
—This paper utilizes belief networks to implement fault localization in communication systems taking into account comprehensive information about the system behavior. Most previo...
Malgorzata Steinder, Adarshpal S. Sethi