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» On Multiple Linear Approximations
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CVPR
2007
IEEE
16 years 6 months ago
Tracking Large Variable Numbers of Objects in Clutter
We propose statistical data association techniques for visual tracking of enormously large numbers of objects. We do not assume any prior knowledge about the numbers involved, and...
Margrit Betke, Diane E. Hirsh, Angshuman Bagchi, N...
CVPR
2010
IEEE
16 years 28 days ago
Online-Batch Strongly Convex Multi Kernel Learning
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
Francesco Orabona, Jie Luo, Barbara Caputo
CVPR
2010
IEEE
16 years 24 days ago
Dynamical Binary Latent Variable Models for 3D Human Pose Tracking
We introduce a new class of probabilistic latent variable model called the Implicit Mixture of Conditional Restricted Boltzmann Machines (imCRBM) for use in human pose tracking. K...
Graham Taylor, Leonid Sigal, David Fleet, Geoffrey...
CISS
2008
IEEE
15 years 11 months ago
Overlay protection against link failures using network coding
Abstract—This paper introduces a network coding-based protection scheme against single and multiple link failures. The proposed strategy makes sure that in a connection, each nod...
Ahmed E. Kamal, Aditya Ramamoorthy
GLOBECOM
2008
IEEE
15 years 11 months ago
Robust Transceiver Design for Multiuser MIMO Downlink
Abstract—In this paper, we consider robust joint linear precoder/receive filter design for multiuser multi-input multi-output (MIMO) downlink that minimizes the sum mean square ...
P. Ubaidulla, Ananthanarayanan Chockalingam