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SAC
2008
ACM
13 years 8 months ago
A hybrid software-based self-testing methodology for embedded processor
Software-based self-test (SBST) is emerging as a promising technology for enabling at-speed testing of high-speed embedded processors testing in an SoC system. For SBST, test rout...
Tai-Hua Lu, Chung-Ho Chen, Kuen-Jong Lee
JUCS
2010
164views more  JUCS 2010»
13 years 7 months ago
On Sustainability of Context-Aware Services Among Heterogeneous Smart Spaces
Abstract: Most of ambient intelligence studies have tried to employ inductive methods (e.g., data mining) to discover useful information and patterns from data streams on sensor ne...
Jason J. Jung
SDM
2010
SIAM
217views Data Mining» more  SDM 2010»
13 years 7 months ago
Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs
Collaborative filtering is an important topic in data mining and has been widely used in recommendation system. In this paper, we proposed a unified model for collaborative fil...
Quanquan Gu, Jie Zhou, Chris H. Q. Ding
SMC
2010
IEEE
186views Control Systems» more  SMC 2010»
13 years 7 months ago
Semantic enrichment of text representation with wikipedia for text classification
—Text classification is a widely studied topic in the area of machine learning. A number of techniques have been developed to represent and classify text documents. Most of the t...
Hiroki Yamakawa, Jing Peng, Anna Feldman
SUTC
2010
IEEE
13 years 7 months ago
Reordering for Better Compressibility: Efficient Spatial Sampling in Wireless Sensor Networks
—Compressed Sensing (CS) is a novel sampling paradigm that tries to take data-compression concepts down to the sampling layer of a sensory system. It states that discrete compres...
Mohammadreza Mahmudimanesh, Abdelmajid Khelil, Nee...