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ICASSP
2011
IEEE
14 years 10 months ago
Maximum a posteriori based regularization parameter selection
The 1 norm regularized least square technique has been proposed as an efficient method to calculate sparse solutions. However, the choice of the regularization parameter is still...
Ashkan Panahi, Mats Viberg
TMC
2011
187views more  TMC 2011»
15 years 1 months ago
Mobility Tracking Based on Autoregressive Models
We propose an integrated scheme for tracking the mobility of a user based on autoregressive models that accurately capture the characteristics of realistic user movements in wirel...
Zainab R. Zaidi, Brian L. Mark
NIPS
1998
15 years 7 months ago
Semi-Supervised Support Vector Machines
We introduce a semi-supervised support vector machine (S3 VM) method. Given a training set of labeled data and a working set of unlabeled data, S3 VM constructs a support vector m...
Kristin P. Bennett, Ayhan Demiriz
AAAI
2006
15 years 8 months ago
Probabilistic Self-Localization for Sensor Networks
This paper describes a technique for the probabilistic self-localization of a sensor network based on noisy inter-sensor range data. Our method is based on a number of parallel in...
Dimitri Marinakis, Gregory Dudek
IWDC
2004
Springer
161views Communications» more  IWDC 2004»
15 years 12 months ago
Distributed Mobility Tracking for Ad Hoc Networks Based on an Autoregressive Model
Abstract. In ad hoc networks, node mobility causes the network topology to change dynamically over time, which complicates important tasks such as routing and flow control. We pro...
Zainab R. Zaidi, Brian L. Mark