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MIR
2005
ACM
140views Multimedia» more  MIR 2005»
15 years 5 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...
ICML
2009
IEEE
16 years 20 days ago
Partially supervised feature selection with regularized linear models
This paper addresses feature selection techniques for classification of high dimensional data, such as those produced by microarray experiments. Some prior knowledge may be availa...
Thibault Helleputte, Pierre Dupont
PRESENCE
2006
104views more  PRESENCE 2006»
14 years 11 months ago
Physically Realistic Virtual Surgery Using the Point-Associated Finite Field (PAFF) Approach
The generation of multimodal virtual environments for surgical training is complicated by the necessity to develop heterogeneous simulation scenarios such as surgical incision, ca...
Suvranu De, Yi-Je Lim, Manivannan Muniyandi, Manda...
ALT
2010
Springer
15 years 1 months ago
Contrast Pattern Mining and Its Application for Building Robust Classifiers
: The ability to distinguish, differentiate and contrast between different data sets is a key objective in data mining. Such ability can assist domain experts to understand their d...
Kotagiri Ramamohanarao
ICSE
2007
IEEE-ACM
15 years 6 months ago
Design, Implementation and Deployment of State Machines Using a Generative Approach
Abstract. We describe an approach to designing and implementing a distributed system as a family of related finite state machines, generated from a single abstract model. Various a...
Graham N. C. Kirby, Alan Dearle, Stuart J. Norcros...