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» Evaluating Usefulness for Dynamic Classification
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ICRA
2006
IEEE
85views Robotics» more  ICRA 2006»
14 years 1 months ago
Design of Classifier to Automate the Evaluation of Protein Crystallization States
– This paper presents a method for designing classifier to automate an evaluation process of protein crystallization growth states. The classifier is designed by binary decision ...
Kanako Saitoh, Kuniaki Kawabata, Hajime Asama, Tak...
PAM
2005
Springer
14 years 1 months ago
Self-Learning IP Traffic Classification Based on Statistical Flow Characteristics
A number of key areas in IP network engineering, management and surveillance greatly benefit from the ability to dynamically identify traffic flows according to the applications re...
Sebastian Zander, Thuy T. T. Nguyen, Grenville J. ...
ADBIS
2007
Springer
256views Database» more  ADBIS 2007»
13 years 11 months ago
Adaptive k-Nearest-Neighbor Classification Using a Dynamic Number of Nearest Neighbors
Classification based on k-nearest neighbors (kNN classification) is one of the most widely used classification methods. The number k of nearest neighbors used for achieving a high ...
Stefanos Ougiaroglou, Alexandros Nanopoulos, Apost...
MICCAI
2009
Springer
14 years 8 months ago
Using Real-Time fMRI to Control a Dynamical System by Brain Activity Classification
We present a method for controlling a dynamical system using real-time fMRI. The objective for the subject in the MR scanner is to balance an inverted pendulum by activating the le...
Anders Eklund, Henrik Ohlsson, Mats T. Andersson...
ICPR
2004
IEEE
14 years 8 months ago
Segmentation and Classification of Meeting Events using Multiple Classifier Fusion and Dynamic Programming
In this paper the segmentation of a meeting into meeting events is investigated as well as the recognition of the detected segments. First the classification of a meeting event is...
Gerhard Rigoll, Stephan Reiter