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EMNLP
2009
13 years 6 months ago
Domain adaptive bootstrapping for named entity recognition
Bootstrapping is the process of improving the performance of a trained classifier by iteratively adding data that is labeled by the classifier itself to the training set, and retr...
Dan Wu, Wee Sun Lee, Nan Ye, Hai Leong Chieu
ICASSP
2011
IEEE
13 years 23 days ago
Nonbinary LDPC decoding by min-sum with Adaptive Message Control
— A new decoding algorithm, referred to as Min-Sum with Adaptive Message Control (AMC-MS), is proposed to reduce the decoding complexity of nonbinary LDPC codes. The proposed alg...
Weiguo Tang, Jie Huang, Lei Wang, Shengli Zhou
ICCAD
2002
IEEE
157views Hardware» more  ICCAD 2002»
14 years 6 months ago
Combined dynamic voltage scaling and adaptive body biasing for lower power microprocessors under dynamic workloads
Dynamic voltage scaling (DVS) reduces the power consumption of processors when peak performance is unnecessary. However, the achievable power savings by DVS alone is becoming limi...
Steven M. Martin, Krisztián Flautner, Trevo...
DASFAA
2009
IEEE
203views Database» more  DASFAA 2009»
14 years 3 months ago
Adaptive Safe Regions for Continuous Spatial Queries over Moving Objects
Abstract. Continuous spatial queries retrieve a set of time-varying objects continuously during a given period of time. However, monitoring moving objects to maintain the correctne...
Yu-Ling Hsueh, Roger Zimmermann, Wei-Shinn Ku
ISBI
2007
IEEE
14 years 3 months ago
Locally Adaptive Autoregressive Active Models for Segmentation of 3d Anatomical Structures
Many techniques of knowledge-based segmentation consist of building statistical models that describe the deformations of the structure of interest, and then fit these models to t...
Charles Florin, Nikos Paragios, Gareth Funka-Lea, ...