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ICANN
2005
Springer
15 years 5 months ago
Informational Energy Kernel for LVQ
We describe a kernel method which uses the maximization of Onicescu’s informational energy as a criteria for computing the relevances of input features. This adaptive relevance d...
Angel Cataron, Razvan Andonie
NAACL
1994
15 years 1 months ago
Learning from Relevant Documents in Large Scale Routing Retrieval
The normal practice of selecting relevant documents for training routing queries is to either use all relevants or the 'best n' of them after a (retrieval) ranking opera...
K. L. Kwok, Laszlo Grunfeld
ECCV
2008
Springer
16 years 1 months ago
Relevant Feature Selection for Human Pose Estimation and Localization in Cluttered Images
Abstract. We address the problem of estimating human body pose from a single image with cluttered background. We train multiple local linear regressors for estimating the 3D pose f...
Ryuzo Okada, Stefano Soatto
CORR
2012
Springer
214views Education» more  CORR 2012»
13 years 7 months ago
Stochastic Low-Rank Kernel Learning for Regression
We present a novel approach to learn a kernelbased regression function. It is based on the use of conical combinations of data-based parameterized kernels and on a new stochastic ...
Pierre Machart, Thomas Peel, Liva Ralaivola, Sandr...
ECIR
2008
Springer
15 years 1 months ago
Expert Search Evaluation by Supporting Documents
An expert search system assists users with their "expertise need" by suggesting people with relevant expertise to their query. Most systems work by ranking documents in r...
Craig Macdonald, Iadh Ounis