Kabul Suicide Attack: Growing IS Factor in Afghanistan by Rathore, Shahzeb Ali, Mahmood, Sara

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Checkpoint or Chokepoint: Aviation Security Lessons from Istanbul and Brussels by Tan, Eugene E. Guang

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Who Wins Jakarta Election: Does it Matter? by Sebastian, Leonard C.

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US-Russia relations under Trump presidency: will the reset come to pass? by Dave, Bhavna

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Rohingya refugee crisis in Bangladesh : its multi-dimensional implications by Muniruzzaman, ANM

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IS Misconception of Bay’at: Nuances in Oath of Allegiance by Muhammad Saiful Alam Shah Bin Sudiman

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'Liberation’ of Marawi : Implications for Southeast Asia by Singh, Jasminder

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Challenging the State: Pakistani Militants Form Deadly Alliance by Dorsey, James Michael, Syed, Azaz

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RSIS Series on 14th Malaysian General Election – Penang’s Multi - cornered Contests : Challenges Amid Certainty? by Chan, Xin Ying

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Single-histogram class models for image segmentation by Schroff, F, Criminisi, A, Zisserman, A

“…The benefit of the single histograms is that they are much more efficient both in terms of memory and computational resources; and (ii) we show that bag of visual words histograms can provide an accurate pixel-wise segmentation of an image into object class regions. In this manner the compact models of visual object classes give simultaneous segmentation and recognition of image regions.…”

Scalable cascade inference for semantic image segmentation by Sturgess, P, Ladický, L, Crook, N, Torr, PHS

“…Semantic image segmentation is a problem of simultaneous segmentation and recognition of an input image into regions and their associated categorical labels, such as person, car or cow. …”

Referring expression segmentation: from conventional to generalized by Liu, Chang

“…Among the complex integrated tasks, one particularly challenging and important task is Referring Expression Segmentation (RES), which aims to generate a segmentation mask for a target object in a given image as described by a given natural language query expression, involving both computer vision and natural language processing. …”
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Deep learning for object detection and image segmentation by Tan, Yan Hwa

“…In the proposed approach, we segmented and labelled multiple perspective of a view using a convolutional neural network. …”
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Detection of story segments in news video footages by Octopios, Chowrichzy Wisdomy

“…This project proposes a system for segmenting long news footages into its constituent semantic stories. …”
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Segmentation of liver tumor from CT images by La, Cam Chung

“…One can use the rib curve as a post-processing step to fine tune the segmentation.…”
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Geodesic star convexity for interactive image segmentation by Gulshan, V, Rother, C, Criminisi, A, Blake, A, Zisserman, A

“…In this paper we introduce a new shape constraint for interactive image segmentation. It is an extension of Veksler's star-convexity prior, in two ways: from a single star to multiple stars and from Euclidean rays to Geodesic paths. …”

Machine learning framework for the real-time reconstruction of regional 4D ocean temperature fields from historical reanalysis data and real-time satellite and buoy surface measurements by Champenois, Bianca, Sapsis, Themistoklis

“…We introduce a number of novel criteria that guide the UAV towards regions of strong anomalies by leveraging previously collected information in a mathematically elegant and computationally tractable manner. …”
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Expert Group Meeting on Integrating Information Systems Technology in Local Regional Development Planning : Singapore, Oct 31-Nov 4, 1988 (Vol 2) : [report and summary of proceedings]

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Seminar on Legal and Regulatory Aspects of Satellite Broadcasting : 21-23 October 1993, New Delhi : [workshop I : formulation of guidelines for a legal framework governing transnational broadcasting in the region]

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Seminar on Legal and Regulatory Aspects of Satellite Broadcasting : 21-23 October 1993, New Delhi : [workshop II formulation of guidelines for a legal framework governing transnational broadcasting in the region]

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