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Lecture Notes
742views
15 years 5 months ago
Computer Systems Analysis
Comparing systems using measurement, simulation, and queueing models. Common mistakes and how to avoid them, selection of techniques and metrics, art of data presentation, summariz...
Raj Jain
CVPR
2004
IEEE
14 years 9 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
ECCV
2008
Springer
14 years 9 months ago
Sparse Long-Range Random Field and Its Application to Image Denoising
Many recent techniques for low-level vision problems such as image denoising are formulated in terms of Markov random field (MRF) or conditional random field (CRF) models. Nonethel...
Yunpeng Li, Daniel P. Huttenlocher
TITS
2008
112views more  TITS 2008»
13 years 7 months ago
An Efficient Approach to Onboard Stereo Vision System Pose Estimation
Abstract--This paper presents an efficient technique for estimating the pose of an onboard stereo vision system relative to the environment's dominant surface area, which is s...
Angel Domingo Sappa, Fadi Dornaika, Daniel Ponsa, ...
CORR
2010
Springer
156views Education» more  CORR 2010»
13 years 7 months ago
On the bias of BFS
Abstract--Breadth First Search (BFS) and other graph traversal techniques are widely used for measuring large unknown graphs, such as online social networks. It has been empiricall...
Maciej Kurant, Athina Markopoulou, Patrick Thiran