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» Separable PCA for image classification
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ICPR
2004
IEEE
14 years 5 months ago
Illumination and Expression Invariant Face Recognition with One Sample Image
Most face recognition approaches either assume constant lighting condition or standard facial expressions, thus cannot deal with both kinds of variations simultaneously. This prob...
Brian C. Lovell, Shaokang Chen
ISBI
2006
IEEE
14 years 5 months ago
Nonlinear classification of EEG data for seizure detection
We address the problem of classification of EEG recordings for the detection of epileptic seizures. We assume that the EEG measurements can be described by a low dimensional manif...
Mabel Ramírez-Vélez, Richard Staba, ...
ESANN
2006
13 years 6 months ago
Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images
Spectral classification, segmentation and data reduction are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation approach which ...
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpou...
CVPR
2006
IEEE
14 years 6 months ago
Shape-Based Approach to Robust Image Segmentation using Kernel PCA
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within...
Samuel Dambreville, Yogesh Rathi, Allen Tannenbaum
CRV
2005
IEEE
118views Robotics» more  CRV 2005»
13 years 10 months ago
An Object Detection System using Image Reconstruction with PCA
We present an object detection system that is applied to detecting pedestrians in still images, without assuming any a priori knowledge about the image. The system works as follow...
Luis Malagón-Borja, Olac Fuentes