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» Experiences and directions in pushpin computing
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2010
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14 years 4 months ago
Efficient Particle Filtering via Sparse Kernel Density Estimation
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
Amit Banerjee, Philippe Burlina
CVPR
2011
IEEE
14 years 1 months ago
Blur kernel estimation using the Radon Transform
Camera shake is a common source of degradation in photographs. Restoring blurred pictures is challenging because both the blur kernel and the sharp image are unknown, which makes ...
Taeg Sang Cho, Sylvain Paris, Bill Freeman, Bertho...
CVPR
2012
IEEE
13 years 9 days ago
We are not contortionists: Coupled adaptive learning for head and body orientation estimation in surveillance video
In this paper, we deal with the estimation of body and head poses (i.e orientations) in surveillance videos, and we make three main contributions. First, we address this issue as ...
Cheng Chen, Jean-Marc Odobez
CVPR
2012
IEEE
13 years 9 days ago
Recognizing proxemics in personal photos
Proxemics is the study of how people interact. We present a computational formulation of visual proxemics by attempting to label each pair of people in an image with a subset of p...
Yi Yang, Simon Baker, Anitha Kannan, Deva Ramanan
ICDCS
2009
IEEE
15 years 7 months ago
Minimizing the Hidden Cost of RDMA
Remote Direct Memory Access (RDMA) is a mechanism whereby data is moved directly between the application memory of the local and remote computer. In bypassing the operating system...
Philip Werner Frey, Gustavo Alonso