Results 21 to 30 of about 368,925 (266)
Neural Image Compression and Explanation
Explaining the prediction of deep neural networks (DNNs) and semantic image compression are two active research areas of deep learning with a numerous of applications in decision-critical systems, such as surveillance cameras, drones and self-driving ...
Xiang Li, Shihao Ji
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Digital Holography Data Compression
Digital holography processing is a research topic related to the development of novel visual immersive applications. The huge amount of information conveyed by a digital hologram and the different properties of holographic data with respect to ...
R. Corda
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The relative efficiency of data compression by LZW and LZSS
We explore the use of the LZW and LZSS data compression methods. These methods or some versions of them are very common in use of compressing different types of data.
Yair Wiseman
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Causal Identification Based on Compressive Sensing of Air Pollutants Using Urban Big Data
This study addresses the causal identification of air pollutants from surrounding cities affecting Beijing's air quality. A novel compressive sensing causality analysis (CS-Causality) method, which combines Granger causality analysis (GCA) and maximum ...
Mingwei Li +4 more
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Sketch distance-based clustering of chromosomes for large genome database compression
Background The rapid development of Next-Generation Sequencing technologies enables sequencing genomes with low cost. The dramatically increasing amount of sequencing data raised crucial needs for efficient compression algorithms.
Tao Tang +4 more
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Deep Learning Based Real-Time Recognition of Dynamic Finger Gestures Using a Data Glove
In this article, a real-time dynamic finger gesture recognition using a soft sensor embedded data glove is presented, which measures the metacarpophalangeal (MCP) and proximal interphalangeal (PIP) joint angles of five fingers. In the gesture recognition
Minhyuk Lee, Joonbum Bae
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HitIct:Chinese corpus for the evaluation of lossless compression algorithms
HitIct, a Chinese corpus for the evaluation of lossless compression algorithms based on ANSI code, was proposed.In accordance with the principle of application representativeness, Complementary principle and openness principle, a large number of ...
CHANG Wei-ling1 +3 more
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An Efficient Compression Method of Underwater Acoustic Sensor Signals for Underwater Surveillance
In this paper, we propose a new compression method using underwater acoustic sensor signals for underwater surveillance. Generally, sonar applications that are used for surveillance or ocean monitoring are composed of many underwater acoustic sensors to ...
Yong Guk Kim +5 more
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ABSTRACT Pediatric radiation therapy presents unique challenges compared to adult treatments, including those of immobilization, potential need for sedation, and the critical importance of accurate, reproducible positioning. Additionally, heightened attention to imaging doses is necessary to minimize long‐term toxicity in survivors.
Parham Alaei +17 more
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A Logarithmic Compression Method for Magnitude-Rich Data: The LPPIE Approach
This study introduces Logarithmic Positional Partition Interval Encoding (LPPIE), a novel lossless compression methodology employing iterative logarithmic transformations to drastically reduce data size.
Vasileios Alevizos +5 more
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