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» A Statistical Learning Approach To Document Image Analysis
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IDA
2007
Springer
15 years 3 months ago
Removing biases in unsupervised learning of sequential patterns
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
Yoav Horman, Gal A. Kaminka
ALT
2001
Springer
16 years 7 days ago
Inventing Discovery Tools: Combining Information Visualization with Data Mining
The growing use of information visualization tools and data mining algorithms stems from two separate lines of research. Information visualization researchers believe in the impor...
Ben Shneiderman
ICDAR
2009
IEEE
15 years 10 months ago
Devanagari and Bangla Text Extraction from Natural Scene Images
With the increasing popularity of digital cameras attached with various handheld devices, many new computational challenges have gained significance. One such problem is extractio...
Ujjwal Bhattacharya, Swapan K. Parui, Srikanta Mon...
IBPRIA
2007
Springer
15 years 9 months ago
Bayesian Hyperspectral Image Segmentation with Discriminative Class Learning
Abstract. This paper presents a new Bayesian approach to hyperspectral image segmentation that boosts the performance of the discriminative classifiers. This is achieved by combin...
Janete S. Borges, José M. Bioucas-Dias, And...
MLMI
2004
Springer
15 years 8 months ago
Shallow Dialogue Processing Using Machine Learning Algorithms (or Not)
This paper presents a shallow dialogue analysis model, aimed at human-human dialogues in the context of staff or business meetings. Four components of the model are defined, and ...
Andrei Popescu-Belis, Alexander Clark, Maria Georg...