Scale-invariant feature transform (SIFT) transforms a grayscale image into scale-invariant coordinates of local features that are invariant to image scale, rotation, and changing viewpoints. Because of its scale-invariant properties, SIFT has been successfully used for object recognition and content-based image retrieval. The biggest drawback of SIFT is that it uses only grayscale information a...

There is ample evidence that the use of safety behaviour can interfere with the progress of therapy, particularly if exposure is involved. As a result, it is widely asserted that safety behaviour is anti-therapeutic. However, an unqualified rejection of safety behaviour should be reconsidered because we now have theoretical justification, experimental evidence and clinical observations showing ...

We study optimal rates for quantum communication over a single use of a channel, which itself can correspond to a finite number of uses of a channel with correlated noise. The corresponding capacity is often referred to as the one-shot capacity. Here, in particular, we consider the protocol in which Alice sends one part of a maximally entangled state through a quantum channel to Bob, who then p...

Since the development of monoclonal antibodies twenty-five years ago, researchers and biotech companies have been looking to develop therapeutic uses for them. Michael Gross looks at some of the latest efforts.

We address the problem of one-shot unconstrained face recognition. This is addressed by using a deep attribute representation of faces. While face recognition has considered the use of attribute based representations, for one-shot face recognition, the methods proposed so far have been using different features that represent the limited example available. We postulate that by using an intermedi...

A shot in a digital video sequence may be defined as a set of images (frames) from a single camera. A shot boundary is determined when one shot changes to another shot. A scene is a collection of one or more shots focusing on one or more objects of interest. Video shot boundary detection is a fundamental step for content based video analysis. Various methods have been proposed and developed to ...

Automatic shot change detection has been recognized as an important research issue for video classification. This paper proposes an automatic clustering-based algorithm for shot change detection in MPEG-compressed videos with a small number of user-defined parameters. For accurate detection of abrupt and gradual shot changes, the proper selection and extraction of features are important. We fir...

The Conventional Laser Absorption Scattering (C-LAS) technique is used to measure the mixture concentration and visualize vapor phase. former determined by attenuation of visible ultraviolet light whereas latter achieved via absorption scattering theory. C-LAS uses Nd: YAG pulsed laser CCD cameras provide one spray shot at a particular instance which requires time effort. However, temporal meas...

This is a review of shot noise, the time-dependent fluctuations in the electrical current due to the discreteness of the electron charge, in small conductors. The shot-noise power can be smaller than that of a Poisson process as a result of correlations in the electron transmission imposed by the Pauli principle. This suppression takes on simple universal values in a symmetric double-barrier ju...