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KDD
2009
ACM
150views Data Mining» more  KDD 2009»
15 years 10 months ago
Information theoretic regularization for semi-supervised boosting
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
Lei Zheng, Shaojun Wang, Yan Liu, Chi-Hoon Lee
BMCBI
2010
162views more  BMCBI 2010»
14 years 9 months ago
SNP-RFLPing 2: an updated and integrated PCR-RFLP tool for SNP genotyping
Background: PCR-restriction fragment length polymorphism (RFLP) assay is a cost-effective method for SNP genotyping and mutation detection, but the manual mining for restriction e...
Hsueh-Wei Chang, Yu-Huei Cheng, Li-Yeh Chuang, Che...
ACMSE
2004
ACM
15 years 2 months ago
A model-driven approach for generating embedded robot navigation control software
Real-time embedded systems are time-critical systems that are hard to implement as compared to traditional commercial software, due to the large number of conflicting requirements...
Bina Shah, Rachael Dennison, Jeff Gray
MM
2004
ACM
129views Multimedia» more  MM 2004»
15 years 2 months ago
A novel log-based relevance feedback technique in content-based image retrieval
Relevance feedback has been proposed as an important technique to boost the retrieval performance in content-based image retrieval (CBIR). However, since there exists a semantic g...
Chu-Hong Hoi, Michael R. Lyu
DBVIS
1993
101views Database» more  DBVIS 1993»
15 years 1 months ago
Using Visualization to Support Data Mining of Large Existing Databases
In this paper, we present ideas how visualization technology can be used to improve the difficult process of querying very large databases. With our VisDB system, we try to provid...
Daniel A. Keim, Hans-Peter Kriegel