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» Missing Data Estimation Using Polynomial Kernels
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105
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ICML
2007
IEEE
16 years 1 months ago
The rendezvous algorithm: multiclass semi-supervised learning with Markov random walks
We consider the problem of multiclass classification where both labeled and unlabeled data points are given. We introduce and demonstrate a new approach for estimating a distribut...
Arik Azran
92
Voted
ICMCS
2005
IEEE
109views Multimedia» more  ICMCS 2005»
15 years 6 months ago
Spatial Error Concealment Based on Bezier Curves
This paper presents a geometric error concealment scheme for DCT-based image/video data based on the Bezier polynomials (BP). The proposed scheme makes use of the average edge dir...
Rogelio Hasimoto-Beltran, Ashfaq A. Khokhar
119
Voted
TMI
2010
164views more  TMI 2010»
14 years 7 months ago
Robust Reconstruction of MRSI Data Using a Sparse Spectral Model and High Resolution MRI Priors
We introduce a novel algorithm to address the challenges in magnetic resonance (MR) spectroscopic imaging. In contrast to classical sequential data processing schemes, the proposed...
Ramin Eslami, Mathews Jacob
117
Voted
NIPS
2007
15 years 1 months ago
Density Estimation under Independent Similarly Distributed Sampling Assumptions
A method is proposed for semiparametric estimation where parametric and nonparametric criteria are exploited in density estimation and unsupervised learning. This is accomplished ...
Tony Jebara, Yingbo Song, Kapil Thadani
112
Voted
CSB
2005
IEEE
133views Bioinformatics» more  CSB 2005»
15 years 6 months ago
Biological Pathway Prediction from Multiple Data Sources Using Iterative Bayesian Updating
There is a diversity of functional genomics data, such as gene expression data from microarray experiments, phenotypic data from gene deletion experiments, protein-protein interac...
Corey Powell, Joshua M. Stuart