A5032481807- Advanced Image and Video Retrieval Techniques
- Algorithms and Data Compression
- Advanced Vision and Imaging
- Computer Graphics and Visualization Techniques
- Traumatic Brain Injury Research
- 3D Shape Modeling and Analysis
- Advanced Data Compression Techniques
- Posttraumatic Stress Disorder Research
- Error Correcting Code Techniques
- Bioinformatics and Genomic Networks
- Automated Road and Building Extraction
- Effects of Environmental Stressors on Livestock
- Geographic Information Systems Studies
- Data Management and Algorithms
- Adaptive optics and wavefront sensing
- Milk Quality and Mastitis in Dairy Cows
- Meteorological Phenomena and Simulations
- Seismic Imaging and Inversion Techniques
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
- Seismology and Earthquake Studies
- Tree Root and Stability Studies
- Oral Health Pathology and Treatment
- Advanced Graph Neural Networks
- Seismic Waves and Analysis
Stony Brook School
2024
Stony Brook University
2024
Universitat Autònoma de Barcelona
2019-2023
University of Florida
2018-2021
Universitat de Barcelona
2021
University of Waterloo
2002
University of Malaya
1987
The increase in popularity of point-cloud-oriented applications has triggered the development specialized compression algorithms. In this paper, a novel algorithm is developed for lossless geometry voxelized point clouds following an intra-frame design. encoded voxels are arranged into runs and through single-pass application directly on voxel domain. This done without representing cloud via octree nor rendering space occupancy matrix, therefore decreasing memory requirements method. Each...
Dynamic biological networks model changes in the network topology over time. However, often topologies of these are not available at specific time points. Existing algorithms for studying dynamic ignore this problem and focus only on points which experimental data is available. In paper, we develop a novel alignment based construction algorithm, ANCA, that constructs missing by exploiting information from reference network. Our experiments synthetic real demonstrate ANCA predicts target...
ABSTRACT Background The emergency personnel who responded to the World Trade Center (WTC) attacks endured severe occupational exposures, yet prevalence of cognitive impairment remains unknown among WTC‐exposed‐FDNY‐responders. present study screened for mild and in WTC‐exposed FDNY responders using objective tests, compared rates a cohort non‐FDNY responders, descriptively meta‐analytic estimates MCI from global, community, clinical populations. Methods A sample WTC‐exposed‐FDNY ( n = 343)...
This paper proposes a lossless coder for real-time processing and compression of hyperspectral images. After applying either predictor or differential encoder to reduce the bit rate an image by exploiting close similarity in pixels between neighboring bands, it uses compact data structure called k 2 -raster further rate. The advantage using such is its compactness, with size that comparable produced some classical algorithms yet still providing direct access content query without any need...
Point cloud data have been put under the spotlight by many applications that play an increasingly important role in our every day lives. Their large size and ever-growing prevalent use cases raised interest specialized compression algorithms for point data. In this paper we propose a lossless intra-frame encoder geometry. It relies on single projection of entire predetermined plane, combined with context-adaptive binary arithmetic encoder. Our approach simplifies current best performing...
Hyperspectral images are depictions of scenes represented across many bands the electromagnetic spectrum. The large size these as well their unique structure requires need for specialized data compression algorithms. redundancies found between consecutive spectral components and within themselves favor algorithms that exploit particular structure. One novel technique with applications to hyperspectral is use graph filterbanks such GraphBior transform, leads competitive results. Such existing...
This paper examines the various variable-length encoders that provide integer encoding to hyperspectral scene data within a k 2 -raster compact structure. structure leads compression ratio similar produced by some of classical techniques. also provides direct access for query its elements without requiring any decompression. The selection encoder is critical obtaining competitive performance considering both and time. In this research, we show experimental results different such as Rice,...
Background The emergency personnel who responded to the World Trade Center (WTC) attacks endured severe occupational exposures, yet prevalence of cognitive impairment remains unknown among WTC-exposed-FDNY-responders. present study screened for mild and in WTC-exposed FDNY responders using objective tests, compared rates a cohort non-FDNY responders, descriptively meta-analytic estimates MCI from global, community, clinical populations. Methods A sample WTC-exposed-FDNY (n = 343) was...
This letter proposes methods to improve data size and access time for <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$k^{2}$ </tex-math></inline-formula> -raster, a losslessly compressed structure that provides efficient storage real-time processing. Hyperspectral scenes from real missions are used as our testing data. In previous studies, with the of hyperspectral was reduced by up 52% compared...
Dynamic biological networks model changes in the network topology over time. However, often topologies of these are not available at specific time points. Existing algorithms for studying dynamic ignore this problem and focus only on points which experimental data is available. In paper, we develop a novel alignment based construction algorithm, ANCA, that constructs missing by exploiting information from reference network. Our experiments synthetic real demonstrate ANCA predicts target...
Earth and Space Science Open Archive This preprint has been submitted to is under consideration at Geophysical Research Letters. ESSOAr a venue for early communication or feedback before peer review. Data may be preliminary.Learn more about preprints preprintOpen AccessYou are viewing the latest version by default [v1]Physically-Augmented Deep Learning (PADL): Integration of Physical Context Improved Seismic Event DiscriminationAuthorsMitchell...
A simple pilot balloon theodolite was designed using an assembly of a camera mounted on tripod and connected with Apple II computer for fast accurate data acquisition analysis wind velocities. An accuracy 0.3 degrees its two axes rotation could be achieved is comparable that commercially available theodolite. This system provides continuous tracking up to height 8 km useful the determination low-level profiles.