Kernel-based nonlinear discriminant analysis using minimum squared errors criterion for multiclass and undersampled problems
It is well known that there exist two fundamental limitations in the linear discriminant analysis (LDA). One is that it cannot be applied when the within-class scatter matrix is singular, which is caused by the undersampled problem. The other is that it ...
Post-processed LDA for face and palmprint recognition: What is the rationale
Linear discriminant analysis (LDA)-based methods have been very successful in face and palmprint recognition. Recently, a class of post-processing approaches has been proposed to improve the recognition performance of LDA in face recognition. In-depth ...
Semi-supervised speaker identification under covariate shift
In this paper, we propose a novel semi-supervised speaker identification method that can alleviate the influence of non-stationarity such as session dependent variation, the recording environment change, and physical conditions/emotions. We assume that ...
People re-identification by spectral classification of silhouettes
The problem described in this paper consists in re-identifying moving people in different sites which are completely covered with non-overlapping cameras. Our proposed framework relies on the spectral classification of the appearance-based signatures ...
Nonlinear dimensionality reduction with hybrid distance for trajectory representation of dynamic texture
Dynamic textures play an important role in video content analysis. Current works of dynamic textures mainly focus on overall texture and motion analysis for segmentation or classification based on statistical features and structure models. This paper ...
Parallel implementation of wavelet-based image denoising on programmable PC-grade graphics hardware
The discrete wavelet transform (DWT) has been extensively used for image compression and denoising in the areas of image processing and computer vision. However, the intensive computation of DWT due to its inherent multilevel data decomposition and ...
Wavelet-based multiscale texture segmentation: Application to stromal compartment characterization on virtual slides
We aim at segmenting very large images of histopathology virtual slides with an heterogeneous and complex content. To this end, we propose a multiscale framework for texture-based color image segmentation. The core of the method is based on a wavelet-...
A modification of kernel discriminant analysis for high-dimensional data-with application to face recognition
Kernel discriminant analysis (KDA) is an effective statistical method for dimensionality reduction and feature extraction. However, traditional KDA methods suffer from the small sample size problem. Moreover, they endure the Fisher criterion that is ...
A new algorithm for age recognition from facial images
In this paper, a new algorithm for age-group recognition from frontal face image is presented. The algorithm classifies subjects into four different age categories in four key stages: Pre-processing, facial feature extraction by a novel geometric ...
Nonlocal video denoising, simplification and inpainting using discrete regularization on graphs
We present nonlocal algorithms for video denoising, simplification and inpainting based on a generic framework of discrete regularization on graphs. We express video denoising, simplification and inpainting problems using the same variational ...
On-line versus off-line accelerated kernel feature analysis: Application to computer-aided detection of polyps in CT colonography
A semi-supervised learning method, the on-line accelerated kernel feature analysis (On-line AKFA) is presented. In On-line AKFA, features are extracted while data are being fed to the algorithm in small batches as the algorithm proceeds. The paper ...
Complexity scalable control for H.264 motion estimation and mode decision under energy constraints
The H.264 video coding standard supports several inter-prediction coding modes using variable block sizes. The robust rate-distortion optimization (RDO) technique of both the motion estimation (ME) and the mode decision (MD) is adopted to achieve ...
Adaptive coset partition for distributed video coding
Distributed video coding (DVC) can enable video coding systems to shift motion search complexity from the encoder to the decoder, for which one of the practical constructive frameworks is using coset partition. Two typical coset partition methods, ...
Robust audio and speech watermarking using Gaussian and Laplacian modeling
In this paper, a semi-blind multiplicative watermarking approach for audio and speech signals has been presented. At the receiver end, the optimal maximum likelihood (ML) detector aided by the archived information for Gaussian and Laplacian signals in ...
A robust blind color image watermarking based on wavelet-tree bit host difference selection
In this paper, a blind watermarking technique based on the so called wavelet-trees is introduced. The proposed technique deals with the color pixel as one unit and exploits the significant features and relations between the color pixel components in the ...
Unbiased plain gradient algorithm for a second-order adaptive IIR notch filter with constrained poles and zeros
This article proposes an unbiased plain gradient algorithm for a second-order adaptive IIR notch filter with constrained poles and zeros. The proposed algorithm employs removing a dominant parameter that produces inherent bias. By using this technique, ...
Noise-resistant watermarking in the fractional Fourier domain utilizing moment-based image representation
This paper presents a novel noise-robust scheme for watermark embedding and extraction, applicable on the broad scientific field of information security, including digital encryption for secure transmission. The proposed scheme employs Fourier ...
Tetrolet shrinkage with anisotropic total variation minimization for image approximation
In this paper, an anisotropic total variation (ATV) minimization is combined with the new adaptive tetrolet transform for discontinuity-preserving image processing. In order to suppress the pseudo-Gibbs artefacts and to increase the regularity, the ...
An efficient hardware accelerator architecture for implementing fast IMDCT computation
In this paper, a new fast inverse modified discrete cosine transform (IMDCT) algorithm and an efficient hardware accelerator architecture are proposed. The proposed fast algorithm is derived from our previously presented type-IV discrete cosine ...
UPRE method for total variation parameter selection
Total variation (TV) regularization is a popular method for solving a wide variety of inverse problems in image processing. In order to optimize the reconstructed image, it is important to choose a good regularization parameter. The unbiased predictive ...
Prediction-based watermarking schemes using ahead/post AC prediction
This study presents two predicted-based watermarking schemes, namely ahead AC-predicted watermarking (AAPW) and post AC-predicted watermarking (PAPW), by embedding information into low frequency AC coefficients of discrete cosine transform (DCT). The ...
Interpolation-based matrix pencil method for parameter estimation of dispersive media in civil engineering
In this paper, we propose a modified matrix pencil method for the problem of time delay estimation in dispersive media obeying a particular frequency power law, namely, the constant-Q model. Being based on a Vandermonde decomposition of the prediction ...
Deinterleaving pulse trains in unconventional circumstances using multiple hypothesis tracking algorithm
The main function of Electronic Support Measure (ESM) is to receive, measure and deinterleave pulses, and then identify alternative threat emitters. Among these processes, pulse deinterleaving is vitally important because dense electromagnetic ...
A new structure for the design of wideband variable fractional-order FIR differentiators
In this paper, a new structure is proposed for the design of wideband variable fractional-order (VFO) FIR differentiators. Part of subfilters in the conventional structure are replaced by the cascade of a prefilter and the modified subfilters, such that ...
Fast communication: Selective correlation detector for additive spread spectrum watermarking in transform domain
As an improvement on additive spread spectrum (ASS) watermarking, this paper proposes the selective correlation detector (SCD), which performs correlation detection on a portion rather than the whole block of the signal. The portion is determined based ...
Fast communication: Minimum variance time of arrival estimation for positioning
Positioning systems based on time of arrival (TOA) rely on an accurate estimation of the first signal arrival which is the only one bearing position information. In this context, first arrival path detectors based on the minimum variance (MV) and the ...
Fast communication: Performance analysis of quantized incremental LMS algorithm for distributed adaptive estimation
Recently distributed adaptive estimation algorithms have been proposed as a solution to the issue of linear estimation over distributed networks. In all previous works, the performance of such algorithms is considered only for infinite-precision ...
Fast communication: Joint design of Gaussianized spectrum-based features and least-square linear classifier for automatic acoustic environment classification in hearing aids
In this paper we propose a method to generate a novel set of features in order to improve sound classification in digital hearing aids. The approach is based on the fact that those classification algorithms whose design consists in minimizing the mean ...
