Urban building information can be effectively extracted by applying object-based image segmentation and multi-stage thresholding on High Resolution (HR) remote sensing satellite imageries. This study provides the results obtained using this method images of Indian satellite, CARTOSAT-2S launched Space Research Organization (ISRO). In study, a is developed to extract urban footprints from HR ima...

We address action temporal localization in untrimmed long videos. This is important because videos in real applications are usually unconstrained and contain multiple action instances plus video content of background scenes or other activities. To address this challenging issue, we exploit the effectiveness of deep networks in action temporal localization via multi-stage segment-based 3D ConvNe...

    Objective: To assess the overall nutritional status of Santal tribal preschool children of Paschim Medinipur district, West Bengal, India.   Methods: A cross sectional study was conducted from February 2012 to September, 2012 in the Santal tribal community of rural area of Paschim Medinipur District, West Bengal. The study children were selected multi stage cluster sampling method. The leve...

Generation of a thematic map is important for scientists and agriculture engineers in analyzing different crops given field. Remote sensing data are well-accepted image classification on vast area crop investigation. However, most the research has currently focused pixel-based analysis. The study was carried out to develop multi-category hyperspectral system identify major Chiayi Golden Corrido...

This paper describes a Multi-Argument Classification (MAC) approach to Semantic Role Labeling. The goal is to exploit dependencies between semantic roles by simultaneously classifying all arguments as a pattern. Argument identification, as a pre-processing stage, is carried at using the improved Predicate-Argument Recognition Algorithm (PARA) developed by Lin and Smith (2006). Results using sta...

The current approaches to Semantic Role Labeling (SRL) usually perform role classification for each predicate separately and the interaction among individual predicate’s role labeling is ignored if there is more than one predicate in a sentence. In this paper, we prove that different predicates in a sentence could help each other during SRL. In multi-predicate role labeling, there are mainly tw...

In this paper we shall discuss a novel approach to road surface recognition, based on the analysis of backscattered microwave and ultrasonic signals. The novelty of our method is sonar and polarimetric radar data fusion, extraction of features for separate swathes of illuminated surface (segmentation), and using of multi-stage artificial neural network for surface classification. The developed ...