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» Nonlinear principal component analysis of noisy data
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SIGIR
2009
ACM
14 years 3 months ago
Fast nonparametric matrix factorization for large-scale collaborative filtering
With the sheer growth of online user data, it becomes challenging to develop preference learning algorithms that are sufficiently flexible in modeling but also affordable in com...
Kai Yu, Shenghuo Zhu, John D. Lafferty, Yihong Gon...
AROBOTS
2002
131views more  AROBOTS 2002»
13 years 8 months ago
Automated Derivation of Primitives for Movement Classification
Abstract. We describe a new method for representing human movement compactly, in terms of a linear superimposition of simpler movements termed primitives. This method is a part of ...
Ajo Fod, Maja J. Mataric, Odest Chadwicke Jenkins
COMPLIFE
2006
Springer
14 years 16 days ago
Beating the Noise: New Statistical Methods for Detecting Signals in MALDI-TOF Spectra Below Noise Level
Background: The computer-assisted detection of small molecules by mass spectrometry in biological samples provides a snapshot of thousands of peptides, protein fragments and prote...
Tim O. F. Conrad, Alexander Leichtle, Andre Hageh&...
HICSS
2007
IEEE
132views Biometrics» more  HICSS 2007»
14 years 3 months ago
Modeling the Economic Cost of Transmission Bottlenecks
— The purpose of this paper is to model the stochastic behavior of nodal prices and use the predicted price differences between zones as the basis for measuring the magnitude and...
Timothy D. Mount, Jaeuk Ju
PR
2008
159views more  PR 2008»
13 years 8 months ago
Feature fusion of side face and gait for video-based human identification
Video-based human recognition at a distance remains a challenging problem for the fusion of multimodal biometrics. As compared to the approach based on match score level fusion, i...
Xiaoli Zhou, Bir Bhanu