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MIR
2005
ACM
140views Multimedia» more  MIR 2005»
15 years 12 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...
CF
2007
ACM
15 years 10 months ago
Fast compiler optimisation evaluation using code-feature based performance prediction
Performance tuning is an important and time consuming task which may have to be repeated for each new application and platform. Although iterative optimisation can automate this p...
Christophe Dubach, John Cavazos, Björn Franke...
ER
2001
Springer
96views Database» more  ER 2001»
15 years 11 months ago
Process Patterns to Generate E-commerce Systems
: In electronic commerce, two fundamental types of models are business models and process models. While a business model is concerned with value exchanges between actors, a process...
Prasad Jayaweera, Paul Johannesson, Petia Wohed
TASLP
2008
142views more  TASLP 2008»
15 years 6 months ago
HMM Word and Phrase Alignment for Statistical Machine Translation
HMM-based models are developed for the alignment of words and phrases in bitext. The models are formulated so that alignment and parameter estimation can be performed efficiently....
Yonggang Deng, William J. Byrne
JAL
1998
85views more  JAL 1998»
15 years 6 months ago
Isomorph-Free Exhaustive Generation
We describe a very general technique for generating families of combinatorial objects without isomorphs. It applies to almost any class of objects for which an inductive construct...
Brendan D. McKay