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» Statistical-Based Approach to Word Segmentation
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ACIVS
2009
Springer
14 years 14 days ago
Self-assessed Contrast-Maximizing Adaptive Region Growing
In the context of an experimental virtual-reality surgical planning software platform, we propose a fully self-assessed adaptive region growing segmentation algorithm. Our method s...
Carlos S. Mendoza, Begoña Acha, Carmen Serr...
VIIP
2001
13 years 9 months ago
Feature Silhouette Extraction from Photographs for Virtual Human Modeling
In this paper, we present an easy, efficient and practical algorithm, which extracts the feature silhouette from a photograph for virtual human modeling. Our segmentation algorith...
Yu Wang 0010, Charlie C. L. Wang, Matthew Ming-Fai...
AI
2001
Springer
14 years 10 days ago
A Statistical Corpus-Based Term Extractor
Abstract. Term extraction is an important problem in natural language processing. In this paper, we propose a language independent statistical corpus-based term extraction algorith...
Patrick Pantel, Dekang Lin
CVPR
2008
IEEE
14 years 9 months ago
Combining appearance models and Markov Random Fields for category level object segmentation
Object models based on bag-of-words representations can achieve state-of-the-art performance for image classification and object localization tasks. However, as they consider obje...
Diane Larlus, Frédéric Jurie
WWW
2006
ACM
14 years 8 months ago
Browsing on small screens: recasting web-page segmentation into an efficient machine learning framework
Fitting enough information from webpages to make browsing on small screens compelling is a challenging task. One approach is to present the user with a thumbnail image of the full...
Shumeet Baluja