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» Selectivity Estimation using Probabilistic Models
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IBPRIA
2003
Springer
15 years 10 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 11 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 9 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 10 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»
15 years 4 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