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DAC
2009
ACM
14 years 7 months ago
ILP-based pin-count aware design methodology for microfluidic biochips
Digital microfluidic biochips have emerged as a popular alternative for laboratory experiments. To make the biochip feasible for practical applications, pin-count reduction is a k...
Cliff Chiung-Yu Lin, Yao-Wen Chang
DAC
2006
ACM
14 years 7 months ago
High-level power management of embedded systems with application-specific energy cost functions
Most existing dynamic voltage scaling (DVS) schemes for multiple tasks assume an energy cost function (energy consumption versus execution time) that is independent of the task ch...
Youngjin Cho, Naehyuck Chang, Chaitali Chakrabarti...
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
14 years 7 months ago
A multi-relational approach to spatial classification
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Richard Frank, Martin Ester, Arno Knobbe
KDD
2008
ACM
246views Data Mining» more  KDD 2008»
14 years 7 months ago
Direct mining of discriminative and essential frequent patterns via model-based search tree
Frequent patterns provide solutions to datasets that do not have well-structured feature vectors. However, frequent pattern mining is non-trivial since the number of unique patter...
Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Y...
KDD
2006
ACM
115views Data Mining» more  KDD 2006»
14 years 7 months ago
Supervised probabilistic principal component analysis
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...