In this paper, we propose a novel explanation module to explain the predictions made by deep learning. Explanation modules work by embedding a highdimensional deep network layer nonlinearly into a low-dimensional explanation space, while retaining faithfulness in that the original deep learning predictions can be constructed from the few concepts extracted by the explanation module. We then vis...

Today data hacking is a very big problem in networking field. There are many security techniques available to solving this problem. There are many research processing techniques related to internet security, cryptography and steganography etc. One of these is datahiding, using this concept we can provide security, authentication to the system. Data hiding cannot recover original cover. While Re...

Identification of module or community structures is important for characterizing and understanding complex systems. While designed with different objectives, i.e., stochastic models for regeneration and modularity maximization models for discrimination, both these two types of model look for low-rank embedding to best represent and reconstruct network topology. However, the mapping through such...

Watermarking in the Joint Photographic Experts Group (JPEG)2000 coding pipeline is investigated in this paper. A joint quantization and watermarking method based on trellis-coded quantization (TCQ) is proposed to reliably embed data during the quantization stage of the JPEG2000 part 2 codec. The central contribution of this work is the use of a single quantization module to jointly perform quan...

A scalable and computationally efficient framework is designed to fingerprint real-world Bluetooth devices. We propose an embedding-assisted attentional (Mbed-ATN) suitable for fingerprinting actual Its generalization capability analyzed in different settings the effect of sample length anti-aliasing decimation demonstrated. The embedding module serves as a dimensionality reduction unit that ma...

Among the adaptive-grid methods, redistribution and embedding techniques have been the focus of more attention by researchers. Simultaneous or combined adaptive techniques have also been used. This paper describes a combination of adaptive-grid embedding and redistribution methods on semi-structured grids for two-dimensional invisid flows. Since the grid is semi-structured, it is possible to us...

The aim of the study is to create a methodology for using automated authorship expertise in systems protecting intellectual resources an industrial enterprise. based on principle complex linguistic analysis textual information transmitted by employees among themselves, as well enterprise’s customers and suppliers. comparison data text parameters that characterize author’s personality. novelty w...

Extracting relations from text corpora is an important task in text mining. It becomes particularly challenging when focusing on weakly-supervised relation extraction, that is, utilizing a few relation instances (i.e., a pair of entities and their relation) as seeds to extract more instances from corpora. Existing distributional approaches leverage the corpus-level co-occurrence statistics of e...

There exists a natural filtration on the module freely generated by knots (or links). This filtration is called the Vassiliev filtration and has many nice properties. In particular every quotient of this filtration is finite dimensional. A knot invariant which vanishes on some module of this filtration is called a Vassiliev invariant. Almost every knot invariant defined in algebraic term can be...

We exhibit an example of a line bundle M on a smooth complex projective variety Y s.t. M satisfies Property Np for some p, the p-module of a minimal resolution of the ideal of the embedding of Y by M is nonzero and M does not satisfy Property Np. Let M be a very ample line bundle on a smooth complex projective variety Y and let φM : Y → P(H (Y,M)) be the map associated to M . We recall the defi...