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CVPR
2009
IEEE
17 years 8 days 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
CVPR
2003
IEEE
16 years 8 months ago
Learning a discriminative classifier using shape context distances
For purpose of object recognition, we learn one discriminative classifier based on one prototype, using shape context distances as the feature vector. From multiple prototypes, th...
Hao Zhang 0003, Jitendra Malik
DEXAW
2007
IEEE
135views Database» more  DEXAW 2007»
16 years 1 months ago
Unsupervised Learning of Manifolds via Linear Approximations
In this paper, we examine the application of manifold learning to the clustering problem. The method used is Locality Preserving Projections (LPP), which is chosen because of its ...
Hassan A. Kingravi, M. Emre Celebi, Pragya P. Raja...
CICLING
2007
Springer
16 years 1 months ago
Learning for Semantic Parsing
Semantic parsing is the task of mapping a natural language sentence into a complete, formal meaning representation. Over the past decade, we have developed a number of machine lear...
Raymond J. Mooney
DIS
2007
Springer
16 years 1 months ago
Machine Learning in Ecosystem Informatics
Ecosystem Informatics brings together mathematical and computational tools to address scientific and policy challenges in the ecosystem sciences. These challenges include novel s...
Thomas G. Dietterich