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» Learning Models for Predicting Recognition Performance
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ICPR
2008
IEEE
15 years 11 months ago
A discriminative semi-Markov model for robust scene text recognition
We present a semi-Markov model for recognizing scene text that integrates character and word segmentation with recognition. Using wavelet features, it requires only approximate lo...
Allen R. Hanson, Erik G. Learned-Miller, Jerod J. ...
TIP
2008
287views more  TIP 2008»
14 years 9 months ago
3-D Object Recognition Using 2-D Views
We consider the problem of recognizing 3-D objects from 2-D images using geometric models and assuming different viewing angles and positions. Our goal is to recognize and localize...
Wenjing Li, George Bebis, Nikolaos G. Bourbakis
AIED
2007
Springer
15 years 4 months ago
Relating Machine Estimates of Students' Learning Goals to Learning Outcomes: A DBN Approach
Students’ actions while working with a tuoring system were used to generate estimates of learning goals, specifically, the goal of learning by using multimedia help resources, an...
Carole R. Beal, Lei Qu
IPPS
2006
IEEE
15 years 3 months ago
Predicting failures of computer systems: a case study for a telecommunication system
The goal of online failure prediction is to forecast imminent failures while the system is running. This paper compares Similar Events Prediction (SEP) with two other well-known t...
Felix Salfner, M. Schieschke, Miroslaw Malek
ACTAC
2006
126views more  ACTAC 2006»
14 years 9 months ago
Named Entity Recognition for Hungarian Using Various Machine Learning Algorithms
In this paper we introduce a statistical Named Entity recognizer (NER) system for the Hungarian language. We examined three methods for identifying and disambiguating proper nouns...
Richárd Farkas, György Szarvas, Andr&a...