A comparative analysis of missing data imputation techniques on sedimentation data by Loh, Wing Son, Ling, Lloyd, Chin, Ren Jie, Lai, Sai Hin, Loo, Kar Kuan, Seah, Choon Sen

“…A comparative analysis on the missing fine sediment data imputation performance was made based on four different techniques, namely the k-Nearest Neighbourhood (k-NN), Support Vector Regression (SVR), Multiple Regression (MR), and Artificial Neural Network (ANN), under the single imputation (SI) and multiple imputation (MI) regimes. …”
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Tapered microfluidic device for multi-particles separation based on sedimentation principle / by Ida Laila Ahmad, 1981- 612947, Mohd. Ridzuan Ahmad, Fakulti Kejuruteraan Elektrik 540663

Tapered microfluidic device for multi-particles separation based on sedimentation principle / by Ida Laila Ahmad, 1981- 612947

An abundant bacterial phylum with nitrite-oxidizing potential in oligotrophic marine sediments by Zhao, Rui, Jørgensen, Steffen L, Babbin, Andrew R

“…Nitrosediminicola anaerotolerans) additionally appears in anoxic sediments. Counting Ca. Nitrosediminicolota as a nitrite-oxidizer helps to resolve the apparent abundance imbalance between AOA and NOB in oxic marine sediments, and thus its activity may exert controls on the nitrite budget.…”
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Unsupervised multi-texture image segmentation by Neena Mittal

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Semantic segmentation with less annotation efforts by Zhang, Tianyi

“…Semantic segmentation is a pixel-wise classification task, which is to predict class label to every pixel within an image. …”
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Incremental learning technologies for semantic segmentation by Yang, Yizhuo

“…Semantic segmentation models based on deep learning technologies have achieved remarkable results in recent years. …”
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Chinese text segmentation for information retrieval by Li, Hui

“…Despite a host of word segmentation approaches and Chinese information systems that exist today, little work has been done to co-relate segmentation performance and IR effectiveness. …”
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Evaluation of watershed transform in image segmentation by Min Min Thein.

“…This dissertation develops the practical image processing toolbox, and related computer programs for the evaluation of watershed transform in image segmentation.…”
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Search by image : clothing segmentation and retrieval by Shi, Ganyu

“…We divide our system into two main stages: 1) Segmentation: We segment the query image into individual clothing classes, and use them as regions of interest for subsequent retrieval. 2) Retrieval: For each of the clothing item, we use image retrieval techniques to fetch visually similar products. …”
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Delving deeper into the whorl of flower segmentation by Nilsback, M, Zisserman, A

“…Performance is assessed against ground truth trimap segmentations. The algorithms is also compared to several previous approaches for flower segmentation.…”

An object category specific mrf for segmentation by Kumar, MP, Torr, PHS, Zisserman, A

“…In this chapter we present a principled Bayesian method for detecting and segmenting instances of a particular object category within an image, providing a coherent methodology for combining top down and bottom up cues. …”

Image segmentation with minimal human supervision by Shin, G

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Learning segmentation from point trajectories by Karazija, L, Laina, I, Rupprecht, C, Vedaldi, A

“…<p>We consider the problem of segmenting objects in videos based on their motion and no other forms of supervision. …”

Relict and modern sediments on the continental shelf of the northern South China Sea: a reconsideration by Wang, Yuming, Chen, Xiaohong, Switzer, Adam D., Li, Linlin, Xu, Yang, Wang, Yukun, Zhang, Peizhen

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Risk approach towards geographical segment reporting. by Ong, B. W., Tan, P. P., Tan, Siok Hoon.

“…This paper proposed a new approach towards geographical segment reporting in the consolidated financial statements. …”
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Boundary-aware feature propagation for scene segmentation by Ding, Henghui, Jiang, Xudong, Liu, Ai Qun, Thalmann, Nadia Magnenat, Wang, Gang

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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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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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Fingerprint recognition with line segment Hausdorff distance by Liu, Chuan.

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