J. Yang, H.Yu, and W. Kunz, "An Efficient LDA Algorithm for Face Recognition," International Conference on Automation, Robotics, and Computer Vision, ICARCV'2000. Home/Search Document Details and Download
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An Efficient Recognition Technique For Mine-Like Objects.. - Sudha Reese Naval (2003) (Correct)
.... this reason, most practical implementations of LDA first pre process the data using a dimensionality reduction technique, such as Principal Components Analysis (PCA) 5] More sophisticated versions of LDA incorporate the dimensionality reduction directly into the algorithm, and one such algorithm [6] is employed as a benchmark in this paper. Table 1 summarizes classification results using LDA PCA on several pair wise recognition tasks. Half of the data from each set was used for mining the classifier, and the other half was used for testing. Table 1. LDA PCA Classifier Mine Recognition ....
J. Yang, H.Yu, and W. Kunz, "An Efficient LDA Algorithm for Face Recognition," International Conference on Automation, Robotics, and Computer Vision, ICARCV'2000.
User Registration Using Your Face and Mouth - Yang, Huang, Kunz (2000) Self-citation (Yang Kunz) (Correct)
....by the real time face tracker. 3. An the real time track The face recognition part is a modular system, which can easily plug into various face recognition algorithms. We have currently implemented an eigenface algorithm, a dynamic space warping (DSW) algorithm [11] and an LDA algorithm [12]. The techniques based on Principal Components Analysis (PCA) namely eigenfaces [13] have demonstrated excellent performance. In the eigenface approach, a face image defines a point in a high dimensional space. Different face images share a number of similarities with each other, so that the ....
....image data. The PCA is often used for projecting an image into a lower dimensional space or so called face space, and the LDA is then performed to maximize the discriminatory power. We have developed an efficient LDA algorithm to maximize the LDA criterion directly without a separate PCA step [12] . Sp eec h dule The speech recognition module utilizes XCalibur, a spoken languageR DToolKitdeveloped at Interactive Systems Inc. 14] as its core engine. It is designed to be compatible with the Java Speech API. The XCalibur supports large vocabulary continuous speech recognition with a very ....
J. Yang, Y. Yu, W. Kunz, "An Efficient LDA Algorithm for Face Recognition," The Sixth International Conference on Control, Automation, Robotics and Vision (ICARCV2000).
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