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» Selectivity Estimation using Probabilistic Models
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IBPRIA
2003
Springer
15 years 5 months ago
Smoothing Techniques for Tree-k-Grammar-Based Natural Language Modeling
Abstract. In a previous work, a new probabilistic context-free grammar (PCFG) model for natural language parsing derived from a tree bank corpus has been introduced. The model esti...
Jose L. Verdú-Mas, Jorge Calera-Rubio, Rafa...
ICC
2007
IEEE
197views Communications» more  ICC 2007»
15 years 6 months ago
Basis Expansion Model and Doppler Diversity Techniques for Frequency Domain Channel Estimation and Equalization in DS-CDMA Syste
Abstract— In this paper, we propose a frequency domain adaptive estimation of Doppler shifts for multiple Doppler subpaths in direct sequence code division multiple access (DS-CD...
Tianqi Wang, Cheng Li, Hsiao-Hwa Chen
ICRA
1994
IEEE
110views Robotics» more  ICRA 1994»
15 years 4 months ago
Modeling and Parameter Estimation of the Human Index Finger
Precise teleoperation of deztrous robotic hands by hand masters requires an accurate human hand model. A kinematic model of a human index finger is developed as an example for hum...
Robert Rohling, John M. Hollerbach
IPPS
2006
IEEE
15 years 6 months ago
Dynamic resource allocation of computer clusters with probabilistic workloads
Real-time resource scheduling is an important factor for improving the performance of cluster computing. In many distributed and parallel processing systems, particularly real-tim...
Marwan S. Sleiman, Lester Lipsky, Robert Sheahan
PAMI
1998
85views more  PAMI 1998»
14 years 11 months ago
Shape Evolution With Structural and Topological Changes Using Blending
This paper describes a framework for the estimation of shape from sparse or incomplete range data. It uses a shape representation called blending, which allows for the geometric c...
Douglas DeCarlo, Dimitris N. Metaxas