156 search results - page 14 / 32 » Learning Relational Kalman Filtering |
115
Voted
CVPR
2010
IEEE
15 years 7 months ago
2010
IEEE
In this paper, we propose a new method to construct an edge-preserving filter which has very similar response to the bilateral filter. The bilateral filter is a normalized convolu...
102
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ICML
2010
IEEE
15 years 5 days ago
2010
IEEE
Learning undirected graphical models such as Markov random fields is an important machine learning task with applications in many domains. Since it is usually intractable to learn...
130
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AAAI
2010
15 years 17 days ago
2010
Data sparsity is a major problem for collaborative filtering (CF) techniques in recommender systems, especially for new users and items. We observe that, while our target data are...
ICCV
2003
IEEE
16 years 1 months ago
2003
IEEE
A requirement common to most dynamic vision applications is the ability to track objects in a sequence of frames. This problem has been extensively studied in the past few years, ...
196
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AAAI
2008
15 years 1 months ago
2008
This paper presents a novel people detection and tracking method based on a multi-modal sensor fusion approach that utilizes 2D laser range and camera data. The data points in the...