Fracture identification in well logging images: two-stage adaptive network by Zhang, Wei, Li, Zhipeng, Wu, Tong, Yao, Zhenqiu, Qiu, Ao, Li, Yanjun, Shi, Yibing

“…Automatic fracture identification and segmentation in well logging images is increasingly critical but arduous because of extensive exploration for oil and gas. …”
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The Enggano-Dutch word list derived from Helfrich's (1916) “Nadere Bijdrage Tot de Kennis van Het Engganeesch” by Rajeg, GPW

“…This version (0.1.1) now includes the word list in a tab-separated file (.tsv) that has the following features (in the columns): (a) common/standardised transcription, also in segmented format (Columns form_common_transcription and form_common_segments); (b) phonemic transcription in segmented format (Column form_ipa_segments); (c) Indonesian translation of the English gloss using the deeplr R package (Column indonesian). …”

Estimating evolutionary and demographic parameters via ARG-derived IBD by Huang, Z, Kelleher, J, Chan, Y, Balding, D

“…Inference of evolutionary and demographic parameters from a sample of genome sequences often proceeds by first inferring identical-by-descent (IBD) genome segments. By exploiting efficient data encoding based on the ancestral recombination graph (ARG), we obtain three major advantages over current approaches: (i) no need to impose a length threshold on IBD segments, (ii) IBD can be defined without the hard-to-verify requirement of no recombination, and (iii) computation time can be reduced with little loss of statistical efficiency using only the IBD segments from a set of sequence pairs that scales linearly with sample size. …”

Satellite optical and radar image fusion for land cover classification by Zhang, Guobin

“…Following that, different segmentation techniques will be applied to the filtered SAR image, such as Watersheld, Chan-Vese, Superpixel and K-Means segmentation methods. …”
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Self-Supervised Learning across the Spectrum by Shenoy, Jayanth, Zhang, Xingjian Davis, Tao, Bill, Mehrotra, Shlok, Yang, Rem, Zhao, Han, Vasisht, Deepak

“…Satellite image time series (SITS) segmentation is crucial for many applications, like environmental monitoring, land cover mapping, and agricultural crop type classification. …”
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Matching-constrained active contours with affine-invariant shape prior by Yeung, Sai-Kit, Wang, Junyan, Chan, Kap Luk

“…In the object segmentation by active contours, an initial contour provided by user is often required. …”
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Behavior of the southernmost San Andreas fault during the past 300 years by Sieh, Kerry, Williams, Patrick L.

“…Surficial creep occurs at low rates along the Coachella Valley segment of the San Andreas fault, which has not produced a large earthquake during the period of historical record. …”
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Development of a machine-learning-based detection and tracking algorithm for drones by Er, Hwa Ming

“…However, fewer had tried using semantic segmentation for detection and tracking using drones [1], [2]. …”
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A medical image-based computer-aided diagnosis system for musculoskeletal disease and disorder. by Chuah, Tong Kuan

“…Segmentation is an important and necessary step before features can be quantified to be used in the analysis and classification system. …”
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Doing time : inducing temporal graphs by Bramsen, Philip James

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Semantic mapping for articulated objects by Luar, Shui Song

“…Semantic mapping has advanced greatly since its inception as a research field, to now being able to identify poses and segment objects. As an extension of semantic segmentation problem, there is still an unexplored field of identifying joints of an articulated object within an image. …”
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Geometric point interpolation method in R3 space with tangent directional constraint by Chen, Xiao-Diao, Ma, Weiyin

“…The seed segment is then extended to interpolate the remaining data point pairs one by one in a piecewise fashion. …”
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Relationship between irregularities of the nuclear envelope and mitochondria in HeLa cells observed with electron microscopy by Brito-Pacheco, Daniel, Karabağ, Cefa, Brito-Loeza, Carlos, Giannopoulos, Panos, Reyes-Aldasoro, Constantino Carlos

“…The invaginations were successfully segmented with one image processing algorithm. Metrics were extracted for both structures and correlations between the mitochondria and invaginations were explored for 25 segmented cells. …”
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Video anomaly search in crowded scenes via spatio-temporal motion context by Cong, Yang, Yuan, Junsong, Tang, Yandong

“…To characterize the video, we first perform the spatiotemporal video segmentation and then propose a new regionbased descriptor called “Motion Context”, to describe both motion and appearance information of the spatio-temporal segment. …”
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Self-assembled structures using CABC multi-block copolymers by Zheng, Jie

“…Because of their non-symmetric structure, CABC multi-block copolymers form unique assemblies, i.e., Janus-type particles with hetero-segment coronas and flower-like particles with hetero-segment petals. …”
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Fast numerical methods for image restoration by Shi, Juan

“…It has been applied to solve the image denoising, segmentation and surface reconstruction problems.…”
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Spatio temporal traffic pediction for a large-scale road network by Krishnamoorthy, Nardana

“…The road segments belonging to one of these clusters were then tested. …”
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Character-aware audio-visual subtitling in context by Huh, J, Zisserman, A

“…Second, we show that the speaker of short segments can be determined by using the temporal context of the dialogue within a scene. …”

Inhomogeneity correction of magnetic resonance brain images by Chua, Zin Yan

“…In this research, we are focusing on techniques to correct the intensity inhomogeneity by performing a coarse preliminary segmentation on the MR images and then use the segmentation result to estimate the bias field. [3rd Award]…”
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A size and position invariant event-based human posture recognition algorithm by Chen, Shoushun, Folowosele, Fopefolu, Kim, Dongsoo, Vogelstein, R. Jacob, Etienne-Cummings, Ralph, Culurciello, Eugenio

“…The algorithm employs a simplified line segment Hausdorff distance classification and uses projection histograms to achieve size and position invariance. …”
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