The tumor-node-metastasis (TNM) staging system for lung cancer has been modified since its first edition in the late 1960s. Its seventh edition has been recently published and, for the first time, a truly worldwide database was analyzed in order to propose modifications in the staging. Significant changes have been made in the tumor and metastasis descriptors. Although the recommendations for t...

This paper presents new adaptive robust control schemes for a class of nonlinear uncertain descriptor systems. Taking both the structured and unstructured uncertainties into consideration, the first control scheme achieves asymptotic stability of the closed-loop descriptor system. To avoid any potential problems such as parameter drift by unmodeled dynamics, in the second control scheme the ada...

We propose a numerically reliable computational approach to design least order fault detectors using descriptor system techniques. This approach is based on a new numerically stable algorithm to compute least order rational nullspace bases of rational matrices. The main computation in this algorithm is the orthogonal reduction of the system pencil matrix to a Kronecker-like form. The proposed a...

Fractional descriptor reduced-order observers for fractional descriptor continuous-time linear systems are proposed. Necessary and sufficient conditions for the existence of the observers are established. The design procedure of the observers is given and is demonstrated on two numerical examples.

In this paper we propose a system for human action tracking and recognition using a robust particle filter-based visual tracker and a novel descriptor, to represent spatio-temporal interest points, based on an effective combination of a new 3D gradient descriptor with an optic flow descriptor. These points are used to represent video sequences using a bag of spatio-temporal visual words, follow...

We present a novel human performance capture technique capable of robustly estimating the pose (articulated joint positions) of a performer observed passively via multiple view-point video (MVV). An affine invariant pose descriptor is learned using a convolutional neural network (CNN) trained over volumetric data extracted from a MVV dataset of diverse human pose and appearance. A manifold embe...