This paper presents a method for constructing a specific type of language resources that are conveniently applicable to analysis of trending topics in time-annotated textual data. More specifically, the method consists of building a co-occurrence network from the on-line content (such as New York Times articles) that conform to key words selected by users (e.g., ’Arab Spring’). Within the netwo...

This paper discusses two new procedures for extracting verb valences from raw texts, with an application to the Polish language. The first novel technique, the EM selection algorithm, performs unsupervised disambiguation of valence frame forests, obtained by applying a non-probabilistic deep grammar parser and some post-processing to the text. The second new idea concerns filtering of incorrect...

More specifically, we shall look for brake orbits (cf. [ 19]), i.e., nonconstant solutions of (1.1) which satisfy for some T > 0 Q(O) = 4(T) = 0. (1.2) Upon periodic continuation, a solution of (1.1 ), (1.2) will produce a periodic solution of (1.1) with period 2T. The trajectory in configuration space of such a motion is a simple curve connecting the two “restpoints” q(0) and q(T) along which ...

Extending popular histogram representations of local motion patterns, we present a novel weighted integration method based on an assumption that a motion importance should be changed by its appearance to obtain better recognition accuracies. The proposed integration method of motion and appearance patterns can weight information involving “what is moving” by discriminant way. The discriminant w...

Objective 1) To identify carbon monoxide (CO) poisoning in three most affected New York State (NYS) counties (Nassau, Suffolk, and Westchester) during and immediately after Hurricane Sandy with hospital emergency department (ED) chief complaint data reported daily to the New York State Department of Health (NYSDOH). 2) To explore the relationship between power outage and the numbers of CO-relat...

The aim of this study is to propose a new methodology for text region extraction and non text region removal from complex background colored images. This study presents a new approach based on Gamma correction by determining a gamma value for enhancing the foreground details in an image. The approach also uses gray level co-occurrence matrices, texture measures, threshold concepts. The proposed...

Classifying scenes (such as mountains, forests) is not an easy task owing to their variability, ambiguity, and the wide range of illumination and scale conditions that may apply. Bag of features (BoF) model have achieved impressive performances in many famous databases(such as the 15 scene dataset). A main drawback of the BoF model is it disregards all information about the spatial layout of th...

In this paper a novel statistical shape feature called the edge co-occurrence matrix (ECM) is proposed for image classification and retrieval. The ECM indicates the joint probability of edge directions of two pixels at a certain displacement in an image. The ECM can be applied to various tasks since it does not require any segmentation information unlike most shape features. Comparisons are con...

Liver diseases are considered seriously because liver is a vital organ to human beings. Computer aided liver analysis is a technique that can help radiologists to accurately identify diseases that can help in reducing the risk of liver surgery. The computer aided diagnosis (CAD) system consists of the segmentation of liver and lesion, extraction of features from a lesion and characterization of...