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MIR
2005
ACM
140views Multimedia» more  MIR 2005»
14 years 4 months ago
Multiple random walk and its application in content-based image retrieval
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...
Jingrui He, Hanghang Tong, Mingjing Li, Wei-Ying M...
CIIA
2009
13 years 12 months ago
Dynamic Scheduling in Petroleum Process using Reinforcement Learning
Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
Nassima Aissani, Bouziane Beldjilali
CONTEXT
2007
Springer
14 years 5 months ago
An Ostensive Browsing and Searching on the Web
Abstract. The ostensive model assumes that a user’s information need is dynamic and developing, thus, a recently accessed object can be seen as more indicative to the current inf...
Hideo Joho, Robert D. Birbeck, Joemon M. Jose
WSC
1998
14 years 3 days ago
Timed Petri Nets as a Verification Tool
This paper presents Timed Petri Nets (TPN) as an analytical approach for verification of computerized queueing network simulation models at steady state. It introduces a generic a...
Miryam Barad
ICIP
2005
IEEE
14 years 4 months ago
Using Tsallis entropy into a Bayesian network for CBIR
This paper presents a Bayesian Network model for ContentBased Image Retrieval (CBIR). In the explanation and test of this work, only two images features (semantic evidences) are i...
Paulo S. Rodrigues, Gilson A. Giraldi, Ade A. Arau...