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WWW
2006
ACM
14 years 7 months ago
Large-scale text categorization by batch mode active learning
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
Steven C. H. Hoi, Rong Jin, Michael R. Lyu
TSP
2010
13 years 1 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...
BROADNETS
2004
IEEE
13 years 10 months ago
The Effects of the Sub-Carrier Grouping on Multi-Carrier Channel Aware Scheduling
Channel-aware scheduling and link adaptation (LA) methods are widely considered to be crucial for realizing high data rates in wireless networks. Multi-carrier systems that spread...
Fanchun Jin, Gokhan Sahin, Amrinder Arora, Hyeong-...
ICDE
2010
IEEE
212views Database» more  ICDE 2010»
13 years 7 months ago
Cleansing uncertain databases leveraging aggregate constraints
— Emerging uncertain database applications often involve the cleansing (conditioning) of uncertain databases using additional information as new evidence for reducing the uncerta...
Haiquan Chen, Wei-Shinn Ku, Haixun Wang
ECCV
2002
Springer
14 years 8 months ago
Learning Shape from Defocus
We present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of ce...
Paolo Favaro, Stefano Soatto