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We develop a new algorithm to segment the hippocampus from MR images. Our method uses a new classifier ensemble algorithm to correct segmentation errors produced by a multi-atlas based segmentation method. Our classifier ensemble algorithm searches for the maximum likelihood solution via gradient ascent optimization. Compared to the additive regression based algorithm, LogitBoost, our algorithm avoids...
This work proposes characterization of single-length cycle cellular automata (CA) attractors with the target to model this class of CA for designing efficient pattern recognizer. Identification of essential properties of a CA while forming multi-length cycles provides the basis of such characterization. A scheme has been developed that synthesizes the single-length cycle attractor CA, avoiding multi-length...
Determining correlation between aroused emotion and its manifestation on facial expression, voice, gesture and posture have interesting applications in psychotherapy. A set of audiovisual stimulus, selected by a group of experts, is used to excite emotion of the subjects. EEG and facial expression of the subjects excited by the selected audio-visual stimulus are collected, and the nonlinear-correlation...
Intelligent diagnostic reasoning system (IDRS), developed by Lockheed Martin Simulation, Training & Support (LM STS), implements a Bayesian model that is able to reduce the time and cost to diagnose failures by isolating faults[1]. As is the case with all learning systems, the quality of diagnosis is expected to increase with time as more data is presented and more knowledge is absorbed by the...
The proposed neural equaliser structure is based on an orthogonal basis function (OBF) expansion technique, motivated by genetic evolutionary concept, which utilizes a self-breeding approach to evolve new information so as to consolidate the final output.The equaliser structure developed using this novel approach has outperformed the conventional multilayer feedforward neural network (FNN) equaliser...
The basic idea of this paper is to design an alternative voice conversion technique using support vector machine (SVM) as a regression tool that, converts the voice of a source speaker to specific standard target speaker. A nonlinear mapping function between the parameters for the acoustic features of the two speakers has been captured in our work. The vocal tract characteristics have been represented...
In this paper, a new method for power quality (PQ) disturbance classification based on immune systems method is proposed. After the S-matrix is obtained using S-transform of the raw data, four normalized, statistical features for PQ disturbances are extracted for classification. The proposed classification method, based on the proliferating V-detectors algorithm, is then applied. Here, the state space...
In this paper, a geometric method for estimating the face pose (roll and yaw angles) from a single uncalibrated view is presented. The symmetric structure of the human face is exploited by taking the mirror image (horizontal flip) of a test face image as a virtual second view. Facial feature point correspondences are established between the given test and its mirror image using an active appearance...
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