Searching for "Principles component analysis" – sorted by Relevance.
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Texture Resynthesize using Principle Component Analysis
- Texture Resynthesize using Principle Component Analysis Thomas Haenselmann, Praktische Informatik
- Cited by 2 (0 self) – Add To MetaCart
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Face Orientation Estimation in Smart Camera Networks
- component analysis (PCA) [6], linear discriminant analysis (LDA) [4], and hidden markov model (HMM
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On the Bounding Boxes Obtained by Principal Component Analysis Abstract
- Knauer ∗ Klaus Kriegel ∗ Günter Rote ∗ Principle component analysis (PCA) is a commonly used to compute a
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Baseline Evaluations On The CAS-PEAL-R1 Face Database
- evaluated are Principle Components Analysis (PCA), a combined Principle Component Analysis and Linear
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Person Location Service on the Planetary Sensor Network
- . As for the face recognition, the authors develop Adaptive Principle Components Analysis (APCA) to improve
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Efficient Use of Prior Knowledge In Bayesian Estimation of Deformable Contours
- from principle component analysis, is used to restrict and stabilize the search for the optimal
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A Real-Time Face Tracker For Color Video
- and principle component analysis (PCA) based eye localization. Skin color segmentation is performed using
- Cited by 12 (1 self) – Add To MetaCart
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Independent Component Analysis of Word Contexts and Comparison with Traditional Categories
- is examined. It is shown that independent component analysis performs better than principle component analysis
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An Efficient Feature Selection Method for Object Detection
- , only focuses on feature-extraction methods, such as principle-component analysis (PCA), linear
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CS748R: Final Project Report Probabilistic Latent Variable Models for Document Collections
- ............................................................................................. 3 2.3. Probabilistic Principle Component Analysis
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