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ICDAR
2009
IEEE
15 years 11 months ago
Unsupervised HMM Adaptation Using Page Style Clustering
In this paper we present an innovative two-stage adaptation approach for handwriting recognition that is based on clustering of similar pages in the training data. In our approach...
Huaigu Cao, Rohit Prasad, Shirin Saleem, Premkumar...
CVPR
2009
IEEE
16 years 10 months ago
Learning Signs from Subtitles: A Weakly Supervised Approach to Sign Language Recognition
This paper introduces a fully-automated, unsupervised method to recognise sign from subtitles. It does this by using data mining to align correspondences in sections of videos. Bas...
Helen Cooper, Richard Bowden
HCI
2007
15 years 6 months ago
Towards an Integrated Approach for Task Modeling and Human Behavior Recognition
Abstract. Mobile and ubiquitous systems require task models for addressing the challenges of adaptivity and situation-aware assistance. Today, both challenges are seen as separate ...
Martin Giersich, Peter Forbrig, Georg Fuchs, Thoma...
ESANN
2004
15 years 6 months ago
A biologically plausible neuromorphic system for object recognition and depth analysis
Abstract. We present a large-scale Neuromorphic model based on integrateand-fire (IF) neurons that analyses objects and their depth within a moving visual scene. A feature-based al...
Zhijun Yang, Alan F. Murray
115
Voted
MVA
1990
15 years 5 months ago
Recognition of Document Structure on the Basis of Spatial and Geometric Relationships between Document Items
This paper introduces a new method to extract and classify the meaningful information from documents automatically. The basic idea in our method is to utilize the spatial and geom...
Qin Luo, Toyohide Watanabe, Yuuji Yoshida, Yasuyos...