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» On Conditions for Linearity of Optimal Estimation
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ACL
2006
14 years 11 months ago
Approximation Lasso Methods for Language Modeling
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...
Jianfeng Gao, Hisami Suzuki, Bin Yu
IJCV
1998
105views more  IJCV 1998»
14 years 9 months ago
Robust Algorithms for Object Localization
Object localization using sensed data features and corresponding model features is a fundamental problem in machine vision. We reformulate object localization as a least squares p...
Aaron S. Wallack, Dinesh Manocha
GLOBECOM
2007
IEEE
15 years 4 months ago
Distributed Maximum Lifetime Routing in Wireless Sensor Networks Based on Regularization
— The maximum lifetime routing problem in wireless sensor networks has received increasing attention in recent years. One way is to formulate it as a linear programming problem b...
Vahid Shah-Mansouri, Vincent W. S. Wong
RTS
2002
113views more  RTS 2002»
14 years 9 months ago
Feedback-Feedforward Scheduling of Control Tasks
A scheduling architecture for real-time control tasks is proposed. The scheduler uses feedback from execution-time measurements and feedforward from workload changes to adjust the...
Anton Cervin, Johan Eker, Bo Bernhardsson, Karl-Er...
SUTC
2006
IEEE
15 years 3 months ago
Schedules with Minimized Access Latency for Disseminating Dependent Information on Multiple Channels
In wireless mobile environments, data broadcasting is an effective approach to disseminate information to mobile clients. In some applications, the access pattern of all the data...
Kun-Feng Lin, Chuan-Ming Liu