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TKDE
2010
168views more  TKDE 2010»
14 years 8 months ago
Completely Lazy Learning
—Local classifiers are sometimes called lazy learners because they do not train a classifier until presented with a test sample. However, such methods are generally not complet...
Eric K. Garcia, Sergey Feldman, Maya R. Gupta, San...
CVPR
2011
IEEE
14 years 7 months ago
Dynamic Batch Mode Active Learning
Active learning techniques have gained popularity in reducing human effort to annotate data instances for inducing a classifier. When faced with large quantities of unlabeled dat...
Shayok Chakraborty, Vineeth Balasubramanian, Sethu...
HIPEAC
2009
Springer
15 years 2 months ago
Revisiting Cache Block Superloading
Abstract. Technological advances and increasingly complex and dynamic application behavior argue for revisiting mechanisms that adapt logical cache block size to application charac...
Matthew A. Watkins, Sally A. McKee, Lambert Schael...
CHI
2007
ACM
15 years 10 months ago
Sabbath day home automation: "it's like mixing technology and religion"
We present a qualitative study of 20 American Orthodox Jewish families' use of home automation for religious purposes. These lead users offer insight into real-life, longterm...
Allison Woodruff, Sally Augustin, Brooke E. Foucau...
ACCV
2009
Springer
15 years 4 months ago
A Smarter Particle Filter
Particle filtering is an effective sequential Monte Carlo approach to solve the recursive Bayesian filtering problem in non-linear and non-Gaussian systems. The algorithm is base...
Xiaoqin Zhang, Weiming Hu, Steve J. Maybank