To achieve efficient and compact low-dimensional features for speech emotion recognition, this paper proposes a novel feature reduction method using multiscale kernels in the framework of graph embedding. With Fisher discriminant embedding graph, multiscale Gaussian kernels are used in constructing optimal linear combination of Gram matrices for multiple kernel learning. To evaluate the propose...

This paper explores the use of a series of Graph Embedding (GE) algorithms based on Neighborhood Discriminant Embedding (NDE) as a means to improve the performance and robustness of face recognition. NDE combines GE framework and Fishers criterion and it takes into account the Individual Discriminative Factor (IDF) which is proposed to describe the microscopic discriminative property of each sa...

We present in this paper a new approach for specific JPEG steganalysis and propose studying statistics of the compressed DCT coefficients. Traditionally, steganographic algorithms try to preserve statistics of the DCT and of the spatial domain, but they cannot preserve both and also control the alteration of the compressed data. We have noticed a deviation of the entropy of the compressed data ...

We present in this paper a new approach for specific JPEG steganalysis and propose studying statistics of the compressed DCT coefficients. Traditionally, steganographic algorithms try to preserve statistics of the DCT and of the spatial domain, but they cannot preserve both and also control the alteration of the compressed data. We have noticed a deviation of the entropy of the compressed data ...

it has been proved that sphericity testing for digraphs is an np-complete problem. here, we investigate sphericity of 3-connected single source digraphs. we provide a new combinatorial characterization of sphericity and give a linear time algorithm for sphericity testing. our algorithm tests whether a 3-connected single source digraph with $n$ vertices is spherical in $o(n)$ time.

This thesis explores the problems of lossy source coding and information embedding. For lossy source coding, we analyze low density parity check (LDPC) codes and low density generator matrix (LDGM) codes for quantization under a Hamming distortion. We prove that LDPC codes can achieve the rate-distortion function. We also show that the variable node degree of any LDGM code must become unbounded...

An exciting avenue of neuroscientific research involves quantifying the time-varying properties of functional connectivity networks. As a result, many methods have been proposed to estimate the dynamic properties of such networks. However, one of the challenges associated with such methods involves the interpretation and visualization of high-dimensional, dynamic networks. In this work, we empl...