Results 41 to 50 of about 2,276,222 (297)
Target flexibility in molecular recognition [PDF]
Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, 2005 Induced-fit effects are well known in the binding of small molecules to proteins and other macromolecular targets. Among other targets, protein kinases are particularly flexible proteins, so that such effects should be considered in attempts at structure-based inhibitor design for kinase targets.
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Hierarchical Recognition System for Target Recognition from Sparse Representations [PDF]
Mathematical Problems in Engineering, 2015 A hierarchical recognition system (HRS) based on constrained Deep Belief Network (DBN) is proposed for SAR Automatic Target Recognition (SAR ATR). As a classical Deep Learning method, DBN has shown great performance on data reconstruction, big data mining, and classification.
Cui Z., Cao Z., Yang J., Ren H.
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On sample complexity for computational pattern recognition
, 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
Remote 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
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Few Shot Object Detection for SAR Images via Feature Enhancement and Dynamic Relationship Modeling
Remote Sensing, 2022 Current Synthetic Aperture Radar (SAR) image object detection methods require huge amounts of annotated data and can only detect the categories that appears in the training set.
Shiqi Chen +4 more
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Protein-targeted corona phase molecular recognition [PDF]
Nature 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
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Hybrid Optoelectronic Correlator Architecture for Shift Invariant Target Recognition
, 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
Towards Contextual Action Recognition and Target Localization with Active Allocation of Attention [PDF]
, 2012 Exploratory gaze movements are fundamental for gathering the most relevant information regarding the partner during social interactions. We have designed and implemented a system for dynamic attention allocation which is able to actively control gaze ...
D. Marr +12 more
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Low-Rank and Sparse Matrix Decomposition with Cluster Weighting for Hyperspectral Anomaly Detectiond
Remote 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
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Review of Automatic Target Recognition Evaluation Method Development
Leida 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
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