Results 21 to 30 of about 2,406,817 (286)
Discriminative Autoencoders for Small Targets Detection [PDF]
2014 22nd International Conference on Pattern Recognition, 2014 This paper introduces the new concept of discriminative autoencoders. In contrast with the standard autoencoders -- which are artificial neural networks used to learn compressed representation for a set of data -- discriminative autoencoders aim at learning low-dimensional discriminant encodings using two classes of data (denoted such as the positive ...
Razakarivony, Sebastien +1 more
openaire +2 more sources
Site-specific identification and quantitation of endogenous SUMO modifications under native conditions. [PDF]
, 2017 Small ubiquitin-like modifier (SUMO) modification regulates numerous cellular processes. Unlike ubiquitin, detection of endogenous SUMOylated proteins is limited by the lack of naturally occurring protease sites in the C-terminal tail of SUMO proteins ...
Ahmad, Alla S +8 more
core +2 more sources
Prior-Guided Data Augmentation for Infrared Small Target Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Recently, a lot of deep learning (DL) methods have been proposed for infrared small target detection (ISTD). A DL-based model for the ISTD task needs large amounts of samples.
Ao Wang +5 more
doaj +1 more source
Dark photon searches with atomic transitions [PDF]
, 2019 Dark matter could be made up of dark photons, massive but very light particles whose interactions with matter resemble those of usual photons but suppressed by a small mixing parameter.
Cembranos, J. A. R., Álvarez-Luna, C.
core +3 more sources
CourtNet for Infrared Small-Target Detection
, 2022 Infrared small-target detection (ISTD) is an important computer vision task. ISTD aims at separating small targets from complex background clutter. The infrared radiation decays over distances, making the targets highly dim and prone to confusion with the background clutter, which makes the detector challenging to balance the precision and recall rate.
Peng, Jingchao +4 more
openaire +2 more sources
A Multiple Migration and Stacking Algorithm Designed for Land Mine Detection [PDF]
, 2014 This paper describes a modification to a standard migration algorithm for land mine detection with a ground-penetrating radar (GPR) system. High directivity from the antenna requires a significantly large aperture in relation to the operating wavelength,
Daniels, David +2 more
core +1 more source
SDDNet: Infrared small and dim target detection network
CAAI Transactions on Intelligence Technology, 2023 This study focuses on developing deep learning methods for small and dim target detection. We model infrared images as the union of the target region and background region.
Ma Long +5 more
doaj +1 more source
Camera trap arrays improve detection probability of wildlife: Investigating study design considerations using an empirical dataset. [PDF]
, 2017 Camera trapping is a standard tool in ecological research and wildlife conservation. Study designs, particularly for small-bodied or cryptic wildlife species often attempt to boost low detection probabilities by using non-random camera placement or ...
Liberati, Marjorie R +5 more
core +2 more sources
Flying small target detection in IR images based on adaptive toggle operator
IET Computer Vision, 2018 Automatic detection and tracking of a small target in infrared (IR) images are of great importance. Toggle operator (TO) is the newest class of non‐linear operator morphology that has been widely used in detection and tracking the target in IR images ...
Fereshteh Seyed Marvasti +2 more
doaj +1 more source
MicroRNA-like RNAs from the same miRNA precursors play a role in cassava chilling responses [PDF]
, 2017 MicroRNAs (miRNAs) are known to play important roles in various cellular processes and stress responses. MiRNAs can be identified by analyzing reads from high-throughput deep sequencing.
Chen, Xin +5 more
core +3 more sources