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TNN
2010
143views Management» more  TNN 2010»
13 years 2 months ago
Using unsupervised analysis to constrain generalization bounds for support vector classifiers
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, ...
ICIP
2000
IEEE
14 years 9 months ago
An Improved Video Object Tracking Algorithm Based on Motion Re-Estimation
In this paper, we try to improve a video object-tracking algorithm using a motion re-estimation scheme. The usual object tracking algorithm is composed of two steps: object projec...
Jungeun Lim, Hong K. Cho, Jong Beom Ra
HIPC
2005
Springer
14 years 1 months ago
Sensor Selection Heuristic in Sensor Networks
We consider the problem of sensor selection so as to minimise error in estimated location of target. An algorithm based on selecting a sensor in a direction in which the error is ...
Vaishali P. Sadaphal, Bijendra N. Jain
CSDA
2004
104views more  CSDA 2004»
13 years 7 months ago
Consistent estimation in an implicit quadratic measurement error model
An adjusted least squares estimator is derived that yields a consistent estimate of the parameters of an implicit quadratic measurement error model. In addition, a consistent esti...
Alexander Kukush, Ivan Markovsky, Sabine Van Huffe...
ICMCS
2007
IEEE
138views Multimedia» more  ICMCS 2007»
14 years 1 months ago
Mismatch Impact on Per-Pixel End-to-End Distortion Estimation and Coding Mode Selection
The recursive optimal per-pixel estimate (ROPE) is an effective end-to-end distortion estimation scheme. Most existing ROPE-based applications assume that: (i) the encoder knows e...
Hua Yang, Kenneth Rose