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» Nonlinear Mapping Networks
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IR
2010
15 years 1 months ago
Learning to rank with (a lot of) word features
In this article we present Supervised Semantic Indexing (SSI) which defines a class of nonlinear (quadratic) models that are discriminatively trained to directly map from the word...
Bing Bai, Jason Weston, David Grangier, Ronan Coll...
ICC
2009
IEEE
15 years 9 days ago
Joint Reduction of Peak to Average Power Ratio and Symbol Loss Rate in Multicarrier Systems
Peak to average power ratio (PAPR) and symbol loss rate (SLR) are two challenges of multicarrier based communications that have recently drawn much attention. High SLR renders the ...
Amin Alamdar Yazdi, Sameh Sorour, Shahrokh Valaee,...
ACCV
2010
Springer
14 years 9 months ago
Latent Gaussian Mixture Regression for Human Pose Estimation
Discriminative approaches for human pose estimation model the functional mapping, or conditional distribution, between image features and 3D pose. Learning such multi-modal models ...
Yan Tian, Leonid Sigal, Hernán Badino, Fern...
TIP
2010
182views more  TIP 2010»
14 years 9 months ago
Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
Feiping Nie, Dong Xu, Ivor Wai-Hung Tsang, Changsh...
AAAI
2011
14 years 2 months ago
Incorporating Boosted Regression Trees into Ecological Latent Variable Models
Important ecological phenomena are often observed indirectly. Consequently, probabilistic latent variable models provide an important tool, because they can include explicit model...
Rebecca A. Hutchinson, Li-Ping Liu, Thomas G. Diet...