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» Relation Extraction Using Support Vector Machine
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JMLR
2006
186views more  JMLR 2006»
15 years 3 months ago
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised...
Mikhail Belkin, Partha Niyogi, Vikas Sindhwani
PAMI
2008
302views more  PAMI 2008»
15 years 3 months ago
Learning to Detect Moving Shadows in Dynamic Environments
We propose a novel adaptive technique for detecting moving shadows and distinguishing them from moving objects in video sequences. Most methods for detecting shadows work in a stat...
Ajay J. Joshi, Nikolaos Papanikolopoulos
JMLR
2007
101views more  JMLR 2007»
15 years 2 months ago
Noise Tolerant Variants of the Perceptron Algorithm
A large number of variants of the Perceptron algorithm have been proposed and partially evaluated in recent work. One type of algorithm aims for noise tolerance by replacing the l...
Roni Khardon, Gabriel Wachman
ICASSP
2011
IEEE
14 years 6 months ago
Estimation of fundamental frequency from surface electromyographic data: EMG-to-F0
In this paper, we present our recent studies of F0 estimation from the surface electromyographic (EMG) data using a Gaussian mixture model (GMM)-based voice conversion (VC) techni...
Keigo Nakamura, Matthias Janke, Michael Wand, Tanj...
TOG
2012
245views Communications» more  TOG 2012»
13 years 5 months ago
How do humans sketch objects?
Humans have used sketching to depict our visual world since prehistoric times. Even today, sketching is possibly the only rendering technique readily available to all humans. This...
Mathias Eitz, James Hays, Marc Alexa