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2007
159views Robotics» more  RSS 2007»
13 years 10 months ago
Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders
— In probabilistic mobile robotics, the development of measurement models plays a crucial role as it directly influences the efficiency and the robustness of the robot’s perf...
Christian Plagemann, Kristian Kersting, Patrick Pf...
COMCOM
2006
94views more  COMCOM 2006»
13 years 8 months ago
Estimation of network distances using off-line measurements
Several emerging large-scale Internet applications such as Content Distribution Networks, and Peerto-Peer networks could potentially benefit from knowing the underlying Internet t...
Prasun Sinha, Danny Raz, Nidhan Choudhuri
CVPR
2004
IEEE
14 years 10 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...
VLDB
1998
ACM
97views Database» more  VLDB 1998»
14 years 21 days ago
Design and Analysis of Parametric Query Optimization Algorithms
Query optimizers normally compile queries into one optimal plan by assuming complete knowledge of all cost parameters such asselectivity and resourceavailability. The execution of...
Sumit Ganguly
ICASSP
2010
IEEE
13 years 8 months ago
Autoregressive modeling of voiced speech
It is well known that the classical linear predictive model for speech fails to take into account the quasi-periodic nature of the glottal flow typical of voiced speech. In this ...
Maria A. Berezina, Daniel Rudoy, Patrick J. Wolfe