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YFCC100M HybridNet fc6 Deep Features for Content-Based Image Retrieval
<span title="">2016</span>
<i title="ACM Press">
Proceedings of the 2016 ACM Workshop on Multimedia COMMONS - MMCommons '16
</i>
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Moreover, we present experimental results obtained indexing this corpus with two distinct approaches: the Metric Inverted File and the Lucene Quantization. ...
This paper presents a corpus of deep features extracted from the YFCC100M images considering the fc6 hidden layer activation of the HybridNet deep convolutional neural network. ...
In fact, the quantization is trivial, while MI-File has to compare each image feature against all the permutants during the indexing phase. ...
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Persistent Map Saving for Visual Localization for Autonomous Vehicles: An ORB-SLAM Extension
[article]
<span title="2020-05-15">2020</span>
<i >
arXiv
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<span class="release-stage" >pre-print</span>
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Therefore, we first build up and save a map of visual features of the environment at low driving speeds with our extension to the ORB-SLAM\,2 package. ...
With live Simultaneous Localization and Mapping (SLAM), there is a risk of mislocalization, since no ground truth map is used as a reference and errors accumulate over time. ...
At the same time, these deep features can be less variant to changing lighting conditions compared to the current optical features. ...
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Re-ranking Permutation-Based Candidate Sets with the n-Simplex Projection
[chapter]
<span title="">2018</span>
<i title="Springer International Publishing">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a>
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In the realm of metric search, the permutation-based approaches have shown very good performance in indexing and supporting approximate search on large databases. ...
The n-Simplex projection provides upper-and lower-bounds of the actual distance, derived using the distances between the data objects and a finite set of pivots. ...
The disk space needed by the inverted file can be estimated in general assuming to encode each entry of the posting lists with log 2 |X| + 32 bits, where |X| is the size of the dataset. ...
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Monocular weakly supervised depth and pose estimation method based on multi-information fusion
<span title="2021-12-09">2021</span>
<i title="Kuwait Journal of Science">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7r7osjshkjholmpcusnobdus5e" style="color: black;">Maǧallaẗ Al-Kuwayt li-l-ʿulūm</a>
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The depth and pose information are the basic issues in the field of robotics, autonomous driving, and virtual reality, and are also the focus and difficult issues of computer vision research. ...
The supervised monocular depth and pose estimation learning are not feasible in environments where labeled data is not abundant. ...
6 (100ms between the source images and target). ...
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Mining Minimal Map-Segments for Visual Place Classifiers
[article]
<span title="2019-09-15">2019</span>
<i >
arXiv
</i>
<span class="release-stage" >pre-print</span>
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The proposed map representation was implemented with three types of VPC: deep convolutional neural network, bag-of-words, and object class detector, and each was integrated into a Monte Carlo localization ...
., map segments) so that each class has good place-specific training images for a visual place classifier (VPC). ...
Once the detector is trained, the bag of segment classes is predicted and then used to index/search an inverted file. ...
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A survey of few-shot learning in smart agriculture: developments, applications, and challenges
<span title="2022-03-05">2022</span>
<i title="Springer Science and Business Media LLC">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/r7g2xzafrze7jhzts3tizvsi7e" style="color: black;">Plant Methods</a>
</i>
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It imitates the ability of humans' rapid learning and can learn a new task with only a small number of labeled samples, which greatly reduces the time cost and financial resources. ...
AbstractWith the rise of artificial intelligence, deep learning is gradually applied to the field of agriculture and plant science. ...
Acknowledgements Appreciations are given to the editors and reviewers of Plant Methods. ...
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Prognostic nutritional index predicts clinical outcomes in patients with cerebral venous sinus thrombosis
<span title="2021-10-21">2021</span>
<i title="Springer Science and Business Media LLC">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/qwpuftyh4zhspeiqs4d5fbelsa" style="color: black;">BMC Neurology</a>
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However, little is known about PNI and its relationship with the prognosis of cerebral venous sinus thrombosis (CVST). ...
In addition, the nomogram that was set up showed that lower PNI was an index of poor prognosis. The c-index for acute/subacute patients with CVST was 0.872. ...
Malnutrition has been proven to be an independent prognostic index of incidence and mortality in patients with various cancers, myocardial infarction (MI) as well as acute ischemic stroke (AIS) [9] [10 ...
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GEOLOGY, AIRBORNE GEOPHYSICS, GEOMORPHOLOGY AND SOILS IN THE INDIVIDUALIZATION OF THE NIQUELÂNDIA MAFIC-ULTRAMAFIC COMPLEX, GOIÁS STATE, BRAZIL
<span title="2013-09-01">2013</span>
<i title="Sociedade Brasileira de Geofisica">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cnin4tkez5amlkodobwqyli3xi" style="color: black;">Revista Brasileira de Geofisica</a>
</i>
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The anomalous magnetic field data were used to obtain the Analytical Signal Amplitude (ASA), and from ASA together with the Gamma spectrometry data, the Mafic Index (MI) was calculated. ...
The MI has allowed a better delineation of mafic and ultramafic bodies without soil influence.The correlation with the airborne geophysics, geology, topography and soil allowed characterizing and individualizing ...
Individualized portions with high Mafic Index (MI), as seen in Figure 13 , correspond to features with higher magnetic field intensity (magenta and red) associated to the presence of mafic and ultramafic ...
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2 Assessing ventricular function in patients with atrial fibrillation
<span title="">2007</span>
<i title="Ovid Technologies (Wolters Kluwer Health)">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/iirk2pmbwrg4zeshcy3kq5tpie" style="color: black;">Nuclear medicine communications</a>
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In total each list-mode file was formatted into 84 different image files: • 36 (6 × 6) preceding (Q1-Q4, "All" and "Best") and indexed (Q1-Q4, "All" and "Best") criteria in fixed time mode. • 36 (6 × 6 ...
No
Yes
No
Create image from
list mode file
withing preceding
amd indexed beat
limits
Apply appropriate
zoom to match
zoom in clinical
use
Preceding and Indexed beat limits
established ...
to record stuff # I am going to assume we are working with a MAPS study and will record # plot information in the study, but send integrals to a complete # recording file # chomp(my $disk = 'disc'); chomp ...
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How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science
[chapter]
<span title="2017-05-31">2017</span>
<i title="Springer International Publishing">
Studies in Big Data
</i>
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Among several approaches to address the problem of efficient search in large archives of image features, one that is very promising is the use of inverted indices. [9] introduced MI-File, an approach ...
In 2016, a benchmark consisting of 97M deep features 4 extracted from the Yahoo Creative Commons 100M (YFCC100M) dataset [77] was presented and two approximate similarity search techniques were tested ...
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Learning-Replay Based Automated Robotic Testing for Mobile App
<span title="2022-03-16">2022</span>
<i title="Hindawi Limited">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/khqygtfojnby3jyh5obuwd7ko4" style="color: black;">Mobile Information Systems</a>
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and cross-platform. ...
Firstly, vision technology is used to extract the critical information of GUI and gesture actions during the tester's testing process; secondly, the GUI composition and test actions are analyzed to form ...
Further, we have built a deep learning model with autoencoder architecture [31] to extract the feature vectors of the GUI skeleton and take relative entropy to measure the difference of vectors to determine ...
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Opportunities and Challenges in Code Search Tools
[article]
<span title="2020-11-04">2020</span>
<i >
arXiv
</i>
<span class="release-stage" >pre-print</span>
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In recent years, many code search studies have leveraged different techniques, such as deep learning and information retrieval approaches, to retrieve expected code from a large-scale codebase. ...
We investigated the publication trends of code search studies, analyzed key components, such as codebase, query, and modeling technique used to build code search tools, and classified existing tools into ...
Scale
Unknown [100m,1t) [10m,100m) [1m,10m) [100k,1m) [10k,100k) [1k,10k) Total
Method
7
1
6
7
6
12
7
46
Fragment
0
0
0
6
2
1
2
11
File
3
0
0
2
1
2
2
10
Total
10
1
6
15 ...
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A cellular mechanism for inverse effectiveness in multisensory integration
<span title="2017-03-18">2017</span>
<i title="eLife Sciences Publications, Ltd">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/en4qj5ijrbf5djxx7p5zzpjyoq" style="color: black;">eLife</a>
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Here, we expand this cellular level view of MSI by focusing on the principle of inverse effectiveness, another central feature of MSI stating that the amount of multisensory enhancement observed inversely ...
show that non-linear summation of crossmodal synaptic responses, mediated by NMDA-type glutamate receptor (NMDARs) activation, form the cellular basis for inverse effectiveness, both at the cellular and ...
The dish was filled with rearing solution, 1.5 cm deep. ...
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FlightGoggles: Photorealistic Sensor Simulation for Perception-driven Robotics using Photogrammetry and Virtual Reality
[article]
<span title="2019-05-27">2019</span>
<i >
arXiv
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<span class="release-stage" >pre-print</span>
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The ability to perform vehicle-in-the-loop experiments with photorealistic exteroceptive sensor simulation facilitates novel research directions involving, e.g., fast and agile autonomous flight in obstacle-rich ...
First, FlightGoggles provides photorealistic exteroceptive sensor simulation using graphics assets generated with photogrammetry. ...
The total thrust and control moment are given by f T = i R b mi f T,i , (2) µ T = i R b mi µ T,i + r i × R b mi f T,i (3) with R b mi ∈ SO(3) the constant rotation matrix from the motor reference frame ...
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ARID1A Mutations Promote P300-Dependent Endometrial Invasion through Super-Enhancer Hyperacetylation
<span title="2020-11-10">2020</span>
<i title="Elsevier BV">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5ihveavyobfs3mlzee7cjt7mfe" style="color: black;">Cell Reports</a>
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ARID1A co-localizes with P300 at super-enhancers, and genetic or pharmacological inhibition of P300 in ARID1A mutant endometrial epithelia suppresses invasion and induces anoikis through the rescue of ...
ARID1A mutations are observed in deeply invasive forms of the disease, often correlating with malignancy. ...
We thank the Van Andel Genomics Core for providing library construction and sequencing facilities and services, and the Van Andel Histology and Pathology Core for histology services. M.R. ...
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