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R-CNN region By Ilia Iofedov
by ellena-manuel
12/8/16. BGU, DNN course 2016. Sources. Main pape...
Abstract Automated seizure detection using clinical electroencephalograms (EEGs) is a challenging
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Commercially . available seizure detection systems...
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Cascade Region Regression
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CNN architectures Mostly linear structure
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Generally a DAG, directed acyclic graph. VisGraph...
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Bharath. . Hariharan. , Pablo . Arbeláez. , . R...
Recent developments in object detection
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Before deep . convnets. Using deep . convnets. PA...
Recent developments in object detection
by tatyana-admore
Before deep . convnets. Using deep . convnets. PA...
An improved deep learning approach for detection of thyroid papillary cancer in ultrasound images
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Li et al, 2018 . Outline. Background. Methods. Res...
Efficiency concerns
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Deformable Part Models with CNN Features. Pierre-...
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Deformable Part Models with CNN Features. Pierre-...
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person 1. person 2. horse 1. horse 2. R-CNN: Regi...
On-going research on Object Detection
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*Some modification after . seminar. Tackgeun. YOU...
Improved Segmentation for Automated Seizure Detection
by scarlett
using Channel Dependent Posteriors. Presented By:....
Rich feature Hierarchies for Accurate object detection and
by yoshiko-marsland
Ross . Girshick. , Jeff Donahue, Trevor Darrell,...
TUH EEG Seizure Detection (TUSZ)
by sophia2
Subset of the publicly available TUH EEG Corpus (....
Page 2 of 19Xuetal BioMed Eng OnLine 2021 2039
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BackgroundGlaucoma is a kind of chronic disease th...
Preliminary Exam Department of Electrical and Computer Engineering
by reese
Deep Learning Approaches to Automate Seizure Detec...
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