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ICIP
2000
IEEE
14 years 1 months ago
Trellis-Based R-D Optimal Quantization in H.263+
Abstract—We describe a trellis-based algorithm which enables R-D optimum quantization decisions in the H.263+ video coding standard. The algorithm allows the quantization decisio...
Max H. Luttrell, Jiangtao Wen, John D. Villasenor
ICSE
2003
IEEE-ACM
14 years 9 months ago
Quantifying the Value of Architecture Design Decisions: Lessons from the Field
This paper outlines experiences with using economic criteria to make architecture design decisions. It briefly describes the CBAM (Cost Benefit Analysis Method) framework applied ...
Mike Moore, Rick Kazman, Mark Klein, Jai Asundi
PR
2008
97views more  PR 2008»
13 years 9 months ago
A vision-based method for weeds identification through the Bayesian decision theory
One of the objectives of precision agriculture is to minimize the volume of herbicides that are applied to the fields through the use of site-specific weed management systems. Thi...
Alberto Tellaeche, Xavier P. Burgos-Artizzu, Gonza...
IUI
1999
ACM
14 years 1 months ago
Multi-Agent Learning Approach to WWW Information Retrieval Using Neural Network
er has outlined the potential of multiagent framework for decision support. From an abstract point of view, the concept of an agent has been used as modularization principle for th...
Yong S. Choi, Suk I. Yoo
IJCAI
2007
13 years 10 months ago
Concept Sampling: Towards Systematic Selection in Large-Scale Mixed Concepts in Machine Learning
This paper addresses the problem of concept sampling. In many real-world applications, a large collection of mixed concepts is available for decision making. However, the collecti...
Yi Zhang 0010, Xiaoming Jin