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» Introduction to Randomized Algorithms
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ICASSP
2011
IEEE
14 years 7 months ago
Multi-cue based multi-target tracking using online random forests
Discriminative tracking has become popular tracking methods due to their descriptive power for foreground/background separation. Among these methods, online random forest is recen...
Xinchu Shi, Xiaoqin Zhang, Yang Liu, Weiming Hu, H...
153
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EMNLP
2011
14 years 3 months ago
Random Walk Inference and Learning in A Large Scale Knowledge Base
We consider the problem of performing learning and inference in a large scale knowledge base containing imperfect knowledge with incomplete coverage. We show that a soft inference...
Ni Lao, Tom M. Mitchell, William W. Cohen
TSP
2008
166views more  TSP 2008»
15 years 3 months ago
Linear Regression With Gaussian Model Uncertainty: Algorithms and Bounds
In this paper, we consider the problem of estimating an unknown deterministic parameter vector in a linear regression model with random Gaussian uncertainty in the mixing matrix. W...
Ami Wiesel, Yonina C. Eldar, Arie Yeredor
CVPR
2006
IEEE
16 years 5 months ago
The Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects
This paper addresses the problem of detecting and segmenting partially occluded objects of a known category. We first define a part labelling which densely covers the object. Our ...
John M. Winn, Jamie Shotton
CVPR
2007
IEEE
16 years 5 months ago
Utilizing Variational Optimization to Learn Markov Random Fields
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
Marshall F. Tappen