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AII
1992
15 years 4 months ago
Learning from Multiple Sources of Inaccurate Data
Most theoretical models of inductive inference make the idealized assumption that the data available to a learner is from a single and accurate source. The subject of inaccuracies ...
Ganesh Baliga, Sanjay Jain, Arun Sharma
103
Voted
ICPR
2006
IEEE
16 years 1 months ago
Boosted Markov Chain Monte Carlo Data Association for Multiple Target Detection and Tracking
In this paper, we present a probabilistic framework for automatic detection and tracking of objects. We address the data association problem by formulating the visual tracking as ...
Bo Wu, Gérard G. Medioni, Isaac Cohen, Qian...
ICML
2009
IEEE
16 years 1 months ago
A majorization-minimization algorithm for (multiple) hyperparameter learning
We present a general Bayesian framework for hyperparameter tuning in L2-regularized supervised learning models. Paradoxically, our algorithm works by first analytically integratin...
Chuan-Sheng Foo, Chuong B. Do, Andrew Y. Ng
ICDM
2008
IEEE
182views Data Mining» more  ICDM 2008»
15 years 7 months ago
Multiple-Instance Regression with Structured Data
We present a multiple-instance regression algorithm that models internal bag structure to identify the items most relevant to the bag labels. Multiple-instance regression (MIR) op...
Kiri L. Wagstaff, Terran Lane, Alex Roper
106
Voted
ISBI
2006
IEEE
15 years 6 months ago
Using multiple tensor deflection to reconstruct white matter fiber traces with branching
The relationship between brain structure and complex behavior is governed by large-scale neurocognitive networks. Diffusion weighted imaging(DWI) is a noninvasive technique that c...
Weihong Guo, Qingguo Zeng, Yunmei Chen, Yijun Liu