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» Domain Adaptation with Structural Correspondence Learning
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CVPR
2009
IEEE
15 years 1 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
EUSFLAT
2003
122views Fuzzy Logic» more  EUSFLAT 2003»
13 years 9 months ago
Structure recognition on sequences with a neuro-fuzzy-system
We present a formal description of a neurofuzzy system capable of aligning two sequences recognizing their internal structure. The alignment is done on two levels: grouping of the...
Klaus Dalinghaus, Tillman Weyde
HIS
2004
13 years 9 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
AGTIVE
2007
Springer
13 years 9 months ago
Adaptable Support for Queries and Transformations for the DRAGOS Graph-Database
Abstract. The DRAGOS database eases the development of graphbased applications by providing a uniform graph-oriented data storage facility. In this paper, we extend the existing da...
Erhard Weinell
WEBNET
2001
13 years 9 months ago
An Adaptive Hypermedia Presentation Modeling System for Custom Knowledge Representations
We propose a generic presentation system for adaptive educational hypermedia that is highly independent from domain knowledge representation and application state management. Our a...
Pablo Castells, José Antonio Macías ...