Results 271 to 280 of about 1,734,340 (318)

Stance Detection with Target and Target Towards Attention

2018 IEEE International Conference on Big Knowledge (ICBK), 2018
We propose a Neural Stance Detection model with target and target towards attention mechanism. Stance detection is the task of classifying the attitude towards a given target. Even though a variety of recurrent neural networks have been used in stance detection problems, existing modes only take advantage of target information and ignore target towards
Wenqiang Gao, Yujiu Yang 0001, Yi Liu
openaire   +1 more source

Multi-target Bayes filter with the target detection

Signal Processing, 2017
Abstract The probability hypothesis density (PHD) filter and marginal distribution Bayes (MDB) filter are two efficient Bayes approaches for multi-target tracking. However, these two filters fail to provide the state estimation of a target during its initial times due to the poor capability of the two filters on the target detection.
Zong-xiang Liu, Yan-ni Zou, Wei-Xin Xie, Liang-qun Li   +3 more
openaire   +1 more source

Target Tracking With Target State Dependent Detection

IEEE Transactions on Signal Processing, 2011
Target tracking algorithms usually treat the probability of detection as independent of the target state. In most cases, this assumption is not true, with subsequent degradation in the target tracking performance from both expected and optimal levels.
Taek Lyul Song, Darko Musicki, K. Da Sol
openaire   +1 more source

Detecting Targeted Malicious Email

IEEE Security & Privacy Magazine, 2012
Targeted malicious emails (TME) for computer network exploitation have become more insidious and more widely documented in recent years. Beyond spam or phishing designed to trick users into revealing personal information, TME can exploit computer networks and gather sensitive information.
Rohan M. Amin, Julie J. C. H. Ryan, Johan René van Dorp   +2 more
openaire   +1 more source

Robust Detection of Target Maneuvers

2006 9th International Conference on Information Fusion, 2006
This paper is concerned with the development of information processing for robust detection of target maneuvers. Indeed, the price to pay for having good performance for target maneuver detection is to accept that the event that a target maneuver will be falsely detected will be not so infrequent.
Jean Michel Vanpeperstraete, Jean-Pierre Le Cadre   +1 more
openaire   +1 more source

Target detection in hyperspectral images

2016 24th Signal Processing and Communication Application Conference (SIU), 2016
Target detection in hyperspectral images is important in many applications including search and rescue operations, defense systems, mineral exploration, mine detection and border security. In this study, the goal is to detect the nine sub-pixel targets, from seven different materials, that are placed around the town.
Ahmet Karakaya, Seniha Esen Yüksel
openaire   +1 more source

Detection and recognition of visual targets

Journal of the Optical Society of America A, 1985
To aid the development of detection-based interpretations of visual resolution, we evaluated theorems that (1) relate observers' performance in detection of a single target to that in 1-of-m signal detection and (2) predict recognition performance from measured performance at 1-of-m detection.
T, Benzschawel, T E, Cohn
openaire   +2 more sources

Targeted attacks detection with SPuNge

2013 Eleventh Annual Conference on Privacy, Security and Trust, 2013
Over the past several years there has been a noticeable rise in the number of reported targeted attacks, which are also commonly referred to as advanced persistent threats (APTs). This is seen by security experts as a landscape shift from a world dominated by widespread malware that infect indiscriminately, to a more selectively targeted approach with ...
Marco Balduzzi, Vincenzo Ciangaglini, Robert McArdle   +2 more
openaire   +1 more source

Target tracking with incomplete detection

Computer Vision and Image Understanding, 2009
In this paper, we address the multiple target tracking problem as a maximum a posteriori problem. We adopt a graph representation of all observations over time. To make full use of the visual observations from the image sequence, we introduce both motion and appearance likelihood.
Yunqian Ma, Qian Yu, Isaac Cohen
openaire   +1 more source

Detection and identification of moving targets

Vision Research, 1983
Abstract Though they could distinguish a moving target from a blank field, subjects in earlier work often greatly misperceived the direction of the movement. This observation was followed up in three experiments comparing detection of moving random-dot patterns to identification of the patterns direction of movement.
K, Ball, R, Sekuler, J, Machamer
openaire   +2 more sources