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TNN
2010
143views Management» more  TNN 2010»
14 years 6 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
16 years 1 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
15 years 5 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»
14 years 11 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»
15 years 6 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