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CVPR
2009
IEEE
16 years 6 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
94
Voted
FOCS
2010
IEEE
14 years 10 months ago
Learning Convex Concepts from Gaussian Distributions with PCA
We present a new algorithm for learning a convex set in n-dimensional space given labeled examples drawn from any Gaussian distribution. The complexity of the algorithm is bounded ...
Santosh Vempala
94
Voted
NIPS
1994
15 years 1 months ago
From Data Distributions to Regularization in Invariant Learning
Ideally pattern recognition machines provide constant output when the inputs are transformed under a group G of desired invariances. These invariances can be achieved by enhancing...
Todd K. Leen
80
Voted
LREC
2010
164views Education» more  LREC 2010»
15 years 1 months ago
Learning to Mine Definitions from Slovene Structured and Unstructured Knowledge-Rich Resources
The paper presents an innovative approach to extract Slovene definition candidates from domain-specific corpora using morphosyntactic patterns, automatic terminology recognition a...
Darja Fiser, Senja Pollak, Spela Vintar
ACL
2007
15 years 1 months ago
Learning to Extract Relations from the Web using Minimal Supervision
We present a new approach to relation extraction that requires only a handful of training examples. Given a few pairs of named entities known to exhibit or not exhibit a particula...
Razvan C. Bunescu, Raymond J. Mooney