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ICIP
2008
IEEE
16 years 5 months ago
Correlation-based motion vector processing for motion compensated frame interpolation
In this paper, a novel correlation-based motion vector processing method is proposed for motion compensated frame interpolation. We first address the problem of unreliable motion ...
Ai-Mei Huang, Truong Nguyen
WSC
2008
15 years 6 months ago
Using Operation Process Simulation for a Six Sigma project of Mining and Iron Production Factory
The use of the Operation Process Simulation (OPS) for Six Sigma Projects (SSP) can illustrate visual display of the process by enabling to define, measure, analyze and improve the...
Undram Chinbat, Soemon Takakuwa
NIPS
2004
15 years 5 months ago
Using the Equivalent Kernel to Understand Gaussian Process Regression
The equivalent kernel [1] is a way of understanding how Gaussian process regression works for large sample sizes based on a continuum limit. In this paper we show (1) how to appro...
Peter Sollich, Christopher K. I. Williams
NIPS
2001
15 years 5 months ago
Learning a Gaussian Process Prior for Automatically Generating Music Playlists
This paper presents AutoDJ: a system for automatically generating music playlists based on one or more seed songs selected by a user. AutoDJ uses Gaussian Process Regression to le...
John C. Platt, Christopher J. C. Burges, S. Swenso...
GRID
2006
Springer
15 years 4 months ago
Stream processing in data-driven computational science
The use of real-time data streams in data-driven computational science is driving the need for stream processing tools that work within the architectural framework of the larger ap...
Ying Liu, Nithya N. Vijayakumar, Beth Plale