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Abstract
2017
Plastic and Reconstructive Surgery, Global Open
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The development of polymer filaments, laser, and computer-aided design has permitted the creation of three-dimensional (3D) scanning and printing technology. ...
Three-dimensional imaging also offers several advantages, including time efficiency and obtaining localized measurements with high spatial resolution. ...
Severity index ranged from 0.103 (representing the least severe) to 1.270 (representing the most severe), mean 0.69 (SD 0.29). ...
doi:10.1097/01.gox.0000526427.13797.9e
fatcat:gugkoddvufcdbircmvmwq3nybq
Indexing for Dynamic Abstract Regions
2006
22nd International Conference on Data Engineering (ICDE'06)
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We propose a new main memory index structure for abstract regions (objects) which may heavily overlap, the RCtree. These objects are "dynamic" and may have short life spans. ...
We show that the query performance of RC-tree is much better than many indexing schemes on synthetic overlapping data sets. ...
The RC-Tree A RC-tree is a general weight-balanced binary tree for efficient search and update of spatial objects in k−dimensional space. ...
doi:10.1109/icde.2006.81
dblp:conf/icde/JaffarYZ06
fatcat:zehct5ayx5b2dekwpjy7kb5nyy
Mining the stock market (extended abstract)
2000
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '00
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Such work is of crucial importance, since it enables us to identify similarity measures which are useful in a given context and therefore for which efficient algorithms should be further investigated. ...
Our approach is to cluster the stocks according to various measures (including several novel ones) and compare the results to the "groundtruth" clustering based on the Standard and Poor 500 Index. ...
PCA maps vectors x n in a d-dimensional space (x1, ..., x d ) onto vectors z n in an M -dimensional space, where M < d. ...
doi:10.1145/347090.347189
dblp:conf/kdd/GavrilovAIM00
fatcat:5stxmxetm5fbnbwqouh2zdsiuu
Combining Hashing and Abstraction in Sparse High Dimensional Feature Spaces
2021
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
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The commonly used "bag of words" and n-gram representations can result in prohibitively high dimensional input spaces. ...
Thus, dimensionality reduction algorithms that can process data into features fast at runtime, ideally in constant time per feature, are greatly needed in high throughput applications, where the number ...
In particular, these data require effective and efficient methods for text classification, ranking, organization, indexing, and summarization. ...
doi:10.1609/aaai.v26i1.8117
fatcat:qg6motu2gvgofmh7zaqso2zexm
Sparsity-aware finite abstraction
2017
2017 IEEE 56th Annual Conference on Decision and Control (CDC)
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2017 pre-print arXiv:1704.03951v1 fatcat:dn2e3sbymjfq3oivxpkiijew6a
Abstraction of a continuous-space model into a finite state and input dynamical model is a key step in formal controller synthesis tools. ...
Examples highlight speed-ups from existing benchmarks in the literature, synthesis of a safety supervisory controller for a 12-dimensional and abstraction of a 51-dimensional vehicular traffic network. ...
Efficient algorithms and data structures from the formal methods community are then leveraged to enforce the specifications for the abstracted system. ...
doi:10.1109/cdc.2017.8263995
dblp:conf/cdc/GruberKA17
fatcat:b7bd4s23qve2xkrrrxvuuhrrru
Optimizing abstract abstract machines
2013
Proceedings of the 18th ACM SIGPLAN international conference on Functional programming - ICFP '13
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The technique of abstracting abstract machines (AAM) provides a systematic approach for deriving computable approximations of evaluators that are easily proved sound. ...
This article contributes a complementary step-by-step process for subsequently going from a naive analyzer derived under the AAM approach, to an efficient and correct implementation. ...
Abstracting literal compound data The abstraction of compound data structures like lists has deep implications for precision and performance. ...
doi:10.1145/2500365.2500604
dblp:conf/icfp/JohnsonLMH13
fatcat:oqfftpsyyzfbjgyweeloyuj7gy
Lightweight Random Indexing for Polylingual Text Classification (Extended Abstract)
2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
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(that we dub Lightweight Random Indexing). ...
In this work we analyse some important methods proposed in the literature that are machine-translation-free and dictionary-free, and we propose a particular configuration of the Random Indexing method ...
The performance in RI 1% improves at the cost of space and time efficiency, and by gradually disrupting the orthogonality of the base. ...
doi:10.24963/ijcai.2018/801
dblp:conf/ijcai/FernandezE018
fatcat:sesyd366mfcdvfyixojvdvqsiu
The Sparse Abstract Machine
[article]
2022
arXiv
pre-print
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SAM defines a streaming abstraction with sparse primitives that encompass a large space of scheduled tensor algebra expressions. ...
We evaluate the generality and extensibility of our sparse abstract machine, explore the performance space of sparse tensor algebra optimizations using SAM, and provide an example implementation of our ...
dataflow accelerators using our abstract machine, and 3. a compilation strategy from a high-level tensor index notation to our abstract machine model and an example hardware implementation of the abstract ...
arXiv:2208.14610v1
fatcat:7iwf2egobjbspggezbnwtrkl4a
ABSTRACT INDEX
1996
Appetite
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Abstract In order to improve the laser energy transmission efficiency, an ultra-high intensity, high contrast laser pulse with steep front is required. ...
Letter. 108, 055001 (2012) Abstract The RPA regime of ion acceleration requires high intensity laser. ...
In order to ensure high efficiency of acceleration the foil should be opaque for radiation. The most efficient acceleration should happen at the threshold of the foil transparency/opacity. ...
doi:10.1006/appe.1996.0052
fatcat:yuinem55xfdhrbaqfz5z2g73fe
Optimizing abstract abstract machines
2013
SIGPLAN notices
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The technique of abstracting abstract machines (AAM) provides a systematic approach for deriving computable approximations of evaluators that are easily proved sound. ...
This article contributes a complementary step-by-step process for subsequently going from a naive analyzer derived under the AAM approach, to an efficient and correct implementation. ...
In this section, we show an alternative representation of the store and seen set that are more space-efficient and are amenable to destructive updates. ...
doi:10.1145/2544174.2500604
fatcat:3t3dxu55r5c2fp5av3xoncjnhe
Abstracts
1999
European Journal of Orthodontics
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The sleep quality index was increased significantly and the apnoea/hypopnoea index was reduced (<5/h). The sleep efficiency index remained normal (>90) whilst the sleep continuity index was improved. ...
The data obtained were analysed using surface shape analysis, a mathematical method for describing three-dimensional (3D) surface shape. ...
ABSTRACTS 619 AIM: To prospectively examine airway dimensional changes associated with orthognathic surgery, and the relationship of these changes to sleep quality. ...
doi:10.1093/ejo/21.5.567
fatcat:3al3guzxbjfpvhiwo5254gwany
Citation CountPrediction using Abstracts
2019
Journal of Web Engineering
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They classified abstracts of papers with high and low citation counts and applied the classification to the abstracts modified by hiding the technical terms used in them. ...
The results of their experiments indicate that the high and low of citation counts of research papers can be detected using their abstracts, and the effective features used in the prediction are related ...
As shown in Figure 4 , the dimensionality of the vector space was small even compared with that of the classifications using the 1-grams. ...
doi:10.13052/jwe1540-9589.18136
fatcat:iqrz364ekjhaxaq36tumpnflpa
Abstracts
2021
Basic & Clinical Pharmacology & Toxicology
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, high-dimensional features, unbalanced data sets and missing data sets, which has certain research significance. ...
Method: Based on the analysis of fire data set, YOLOv4 model was choice because it is more efficient than other algorithms. ...
Packing box space utilization. ...
doi:10.1111/bcpt.13588
pmid:34041856
fatcat:wobg4mjgunfilgvzqsj5l4an7m
abstract book
2021
Zenodo
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MARVEL: a new high-throughput high-resolution spectrograph The full scientific exploitation of these space data will demand a large amount of complementary multiepoch high-precision radial-velocity measurements ...
YARARA can be implemented for any high-resolution spectrograph data. ...
High instrumental throughput and long-term thermal stability, precise wavelength calibration and drift monitoring, and efficient mitigation of telluric absorption are mandatory. ...
doi:10.5281/zenodo.5106214
fatcat:ll23ixqtf5dblfaf5ydw4tcysu
Data Abstraction for Visualizing Large Time Series
2017
Computer graphics forum (Print)
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To cope with the increasing sizes of datasets, numerous approaches for abstracting large temporal data are developed in the area of data mining. ...
Abstract Numeric time series is a class of data consisting of chronologically ordered observations represented by numeric values. ...
There is a principal possibility of considering time series as a vectors in high-dimensional space, where each time step is treated as one dimension; hence, methods for visualization of high-dimensional ...
doi:10.1111/cgf.13237
fatcat:7kwaws22pvg2vaazk5u4o5k6ha
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