Results 71 to 80 of about 9,170,751 (397)

On sample complexity for computational pattern recognition

open access: yes, 2005
In statistical setting of the pattern recognition problem the number of examples required to approximate an unknown labelling function is linear in the VC dimension of the target learning class.
Ryabko, Daniil
core   +1 more source

Geospatial Object Detection in Remote Sensing Imagery Based on Multiscale Single-Shot Detector with Activated Semantics

open access: yesRemote Sensing, 2018
Geospatial object detection from high spatial resolution (HSR) remote sensing imagery is a heated and challenging problem in the field of automatic image interpretation.
Shiqi Chen, Ronghui Zhan, Jun Zhang
doaj   +1 more source

Review of Automatic Target Recognition Evaluation Method Development

open access: yesLeida xuebao, 2023
Automatic Target Recognition (ATR) is an interdisciplinary technological field related to pattern recognition, artificial intelligence, and information processing. ATR evaluation focuses on accessing ATR algorithms and systems.
Jun HE, Ruigang FU, Qiang FU
doaj   +1 more source

Hybrid Optoelectronic Correlator Architecture for Shift Invariant Target Recognition

open access: yes, 2013
In this paper, we present theoretical details and the underlying architecture of a hybrid optoelectronic correlator that correlates images using Spatial Light Modulators (SLM), detector arrays and Field Programmable Gate Array (FPGA).
Donoghue, John   +4 more
core   +1 more source

Kitting in the Wild through Online Domain Adaptation [PDF]

open access: yes, 2018
Technological developments call for increasing perception and action capabilities of robots. Among other skills, vision systems that can adapt to any possible change in the working conditions are needed.
Caputo, Barbara   +4 more
core   +2 more sources

Adversarial Self-Supervised Learning for Robust SAR Target Recognition

open access: yesRemote Sensing, 2021
Synthetic aperture radar (SAR) can perform observations at all times and has been widely used in the military field. Deep neural network (DNN)-based SAR target recognition models have achieved great success in recent years.
Yanjie Xu   +5 more
semanticscholar   +1 more source

Protein-targeted corona phase molecular recognition [PDF]

open access: yesNature Communications, 2016
AbstractCorona phase molecular recognition (CoPhMoRe) uses a heteropolymer adsorbed onto and templated by a nanoparticle surface to recognize a specific target analyte. This method has not yet been extended to macromolecular analytes, including proteins.
Gili Bisker   +8 more
openaire   +7 more sources

Low-Rank and Sparse Matrix Decomposition with Cluster Weighting for Hyperspectral Anomaly Detectiond

open access: yesRemote Sensing, 2018
Hyperspectral anomaly detection plays an important role in the field of remote sensing. It provides a way to distinguish interested targets from the background without any prior knowledge. The majority of pixels in the hyperspectral dataset belong to the
Lingxiao Zhu, Gongjian Wen, Shaohua Qiu
doaj   +1 more source

Learning Slimming SAR Ship Object Detector Through Network Pruning and Knowledge Distillation

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
The deployment of deep convolutional neural networks (CNNs) in synthetic aperture radar (SAR) ship real-time detection is largely hindered by huge computational cost.
Shiqi Chen   +3 more
doaj   +1 more source

A Portable Active Binocular Robot Vision Architecture for Scene Exploration [PDF]

open access: yes, 2016
We present a portable active binocular robot vision archi- tecture that integrates a number of visual behaviours. This vision archi- tecture inherits the abilities of vergence, localisation, recognition and si- multaneous identification of multiple ...
Aragon-Camarasa, Gerardo   +2 more
core   +1 more source

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