Facial expression recognition has been predominantly utilized to analyze the emotional status of human beings. In practice nearly frontal-view facial images may not be available. Therefore, a desirable property of facial expression recognition would allow the user to have any head pose. Some methods on non-frontal-view facial images were recently proposed to recognize the facial expressions by ...

Traditional numerical methods for calculating matrix eigenvalues are prohibitively expensive high-dimensional problems. Iterative random sparsification allow the estimation of a single dominant eigenvalue at reduced cost by leveraging repeated sampling and averaging. We present general approach to extending such multiple demonstrate its performance several benchmark problems in quantum chemistry.

This paper addresses the task of nuisance reduction in twowire speaker recognition applications. Besides channel mismatch, two-wire conversations are contaminated by extraneous speakers which represent an additional source of noise in the supervector domain. It is shown that two-wire nuisance manifests itself as undesirable directions in the interspeaker subspace. For this purpose, we derive tw...

We consider the problems of designing a linear, time-varying filter with a specified " time-frequency (TF) pass region " and of constructing an orthonormal basis for the parsimonious expansion of signals located in a given TF support region. These problems of TF filtering and TF signal expunsion are reduced to the problem of designing a " TF subspace, " i.e., a linear signal space comprising al...

For a square system of analytic equations, a Newton-invariant subspace is a set which contains the resulting point of a Newton iteration applied to each point in the subspace. For example, if the equations have real coefficients, then the set of real points form a Newtoninvariant subspace. Starting with any point for which Newton’s method quadratically converges to a solution, this article uses...

In low-intermediate-frequency (low-IF) receivers, I/Q imbalance (IQI) causes interference on the desired signal from the blocker signal transmitted over the image frequencies. Conventional approaches for data-aided IQI estimation in zeroIF receivers are not applicable to low-IF receivers. In zero-IF receivers, IQI induces self-interference where the pilots of the image interference are complete...

Rare data in a large-scale database are called outliers that reveal significant information in the real world. The subspace-based outlier detection is regarded as a feasible approach in very high dimensional space. However, the outliers found in subspaces are only part of the true outliers in high dimensional space, indeed. The outliers hidden in normalclustered points are sometimes neglected i...