Results 61 to 70 of about 13,996 (160)

Compressive Transition Path Sampling

, 2018
Algorithms for rare event complex systems simulations are proposed. Compressed Sensing (CS) has {\it revolutionized} our understanding of limits in signal recovery and has forced us to re-define Shannon-Nyquist sampling theorem for sparse recovery. A formalism to reconstruct trajectories and transition paths via CS is illustrated as proposed algorithms.
openaire   +2 more sources

Sample Compression Scheme Reductions

We present novel reductions from sample compression schemes in multiclass classification, regression, and adversarially robust learning settings to binary sample compression schemes. Assuming we have a compression scheme for binary classes of size $f(d_\mathrm{VC})$, where $d_\mathrm{VC}$ is the VC dimension, then we have the following results: (1) If ...
Attias, Idan, Hanneke, Steve, Ramaswami, Arvind   +2 more
openaire   +2 more sources

Blind One-Bit Compressive Sampling

, 2013
27 pages and 10 ...
Shen, Lixin, Suter, Bruce W.
openaire   +2 more sources

Cooperative Compressive Sampling

, 2018
Compressed Sampling (CS) is a promising technique capable of acquiring and processing data of large sizes efficiently. The CS technique exploits the inherent sparsity present in most real-world signals to achieve this feat. Most real-world signals, for example, sound, image, physical phenomenon etc., are compressible or sparse in nature.
openaire   +1 more source

A Comprehensive Study of MCS-TCL: Multi-Functional Sampling for Trustworthy Compressive Learning

Information
Compressive Learning (CL) is an emerging paradigm that allows machine learning models to perform inference directly from compressed measurements, significantly reducing sensing and computational costs.
Fuma Kimishima, Jian Yang, Jinjia Zhou
doaj   +1 more source

Secure Compressive Sensing with Hyper-Chaos: A Simultaneous Encryption and Sampling Framework

Mathematics
Secure compressive sensing (SCS) mostly benefits scenes such as IoT with finite computer resources, the fields of spaceflight and medicine, etc. Recently, research on SCS has aroused widespread interest.
Jiyuan Li, Jianwu Dang, Na Jiang, Jingyu Yang   +3 more
doaj   +1 more source

Signal Amplification Gains of Compressive Sampling for Photocurrent Response Mapping of Optoelectronic Devices. [PDF]

Sensors (Basel), 2019
Koutsourakis G, Blakesley JC, Castro FA.
europepmc   +1 more source

Compressive Sensing in Image/Video Compression: Sampling, Coding, Reconstruction, and Codec Optimization

Information
Compressive Sensing (CS) has emerged as a transformative technique in image compression, offering innovative solutions to challenges in efficient signal representation and acquisition. This paper provides a comprehensive exploration of the key components
Jinjia Zhou, Jian Yang
doaj   +1 more source

The application of compressive sampling in rapid ultrasonic computerized tomography (UCT) technique of steel tube slab (STS). [PDF]

PLoS One, 2018
Jiang B, Jia P, Zhao W, Wang W.
europepmc   +1 more source

Compressive sampling for time critical microwave imaging applications. [PDF]

Healthc Technol Lett, 2014
Craven D, O'Halloran M, McGinley B, Conceicao RC, Kilmartin L, Jones E, Glavin M.   +6 more
europepmc   +1 more source