Results 61 to 70 of about 1,762,979 (356)
Neural Word Segmentation with Rich Pretraining
, 2017 Neural word segmentation research has benefited from large-scale raw texts by leveraging them for pretraining character and word embeddings. On the other hand, statistical segmentation research has exploited richer sources of external information, such ...
Dong, Fei, Yang, Jie, Zhang, Yue
core +1 more source
Segment-then-Segment: Context-Preserving Crop-Based Segmentation for Large Biomedical Images
Sensors, 2023 Medical images are often of huge size, which presents a challenge in terms of memory requirements when training machine learning models. Commonly, the images are downsampled to overcome this challenge, but this leads to a loss of information. We present a general approach for training semantic segmentation neural networks on much smaller input sizes ...
Marin Benčević +3 more
openaire +5 more sources
Food Chemistry: XFlaxseed polyphenols exhibited antibacterial and antioxidant properties; however, their poor solubility and stability limited their application in food products. Incorporation into nano-emulsions improved their dissolution and encapsulation.
Yan Ma +9 more
doaj +1 more source
The influence of consumer capital to the formation corporate strategic planning system of confectionery enterprises [PDF]
Marketing i Menedžment Innovacij, 2013 The aim of the article. In this paper we have identified the factors of consumer capital, which are accounted in the process of strategic planning on the confectionery enterprises.The results of the analysis.
E.E. Ibragimov
doaj
Pseudo Mask Augmented Object Detection
, 2018 In this work, we present a novel and effective framework to facilitate object detection with the instance-level segmentation information that is only supervised by bounding box annotation.
Liang, Shuang +2 more
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MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features
, 2017 In this work, we tackle the problem of instance segmentation, the task of simultaneously solving object detection and semantic segmentation. Towards this goal, we present a model, called MaskLab, which produces three outputs: box detection, semantic ...
Adam, Hartwig +5 more
core +1 more source
SegSort: Segmentation by Discriminative Sorting of Segments [PDF]
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019 In ICCV 2019.
Xiao Zhang +6 more
openaire +3 more sources
FoxO1 signaling in B cell malignancies and its therapeutic targeting
FEBS Letters, EarlyView.FoxO1 has context‐specific tumor suppressor or oncogenic character in myeloid and B cell malignancies. This includes tumor‐promoting properties such as stemness maintenance and DNA damage tolerance in acute leukemias, or regulation of cell proliferation and survival, or migration in mature B cell malignancies.
Krystof Hlavac +3 more
wiley +1 more source
Frontiers in Bioengineering and BiotechnologyBackgroundThe success of using bone mineral density and/or FRAX to predict femoral osteoporotic fracture risk is modest since they do not account for mechanical determinants that affect bone fracture risk.
Cristina Falcinelli +5 more
doaj +1 more source