Results 31 to 40 of about 3,506,766 (278)
PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning
State-of-the-art computer vision algorithms often achieve efficiency by making discrete choices about which hypotheses to explore next. This allows allocation of computational resources to promising candidates, however, such decisions are non ...
Brachmann, Eric +5 more
core +1 more source
LIFT: Learned Invariant Feature Transform [PDF]
We introduce a novel Deep Network architecture that implements the full feature point handling pipeline, that is, detection, orientation estimation, and feature description.
Fua, Pascal +3 more
core +2 more sources
AAA+ protein unfoldases—the Moirai of the proteome
AAA+ unfoldases are essential molecular motors that power protein degradation and disaggregation. This review integrates recent cryo‐electron microscopy (cryo‐EM) structures and single‐molecule biophysical data to reconcile competing models of substrate translocation.
Stavros Azinas, Marta Carroni
wiley +1 more source
Individual Style After The End Of Art [PDF]
In The Transfiguration of the Commonplace (1981)1 Arthur Danto construes individual style as something “given” that belongs to the artist “essentially” and “inseparably.” By contrast, his theory of the end of art, set forth in After the End of Art (1997)
Wenninger, Regina
core
HIV‐1 establishes immediate latency in T cells expressing the viral Nef protein
Nef is a viral protein often omitted from HIV‐1 reporter viruses. Consequently, its role in viral latency is unclear. We developed three novel dual reporter HIV‐1 derivatives that express Nef and allow for detection of latent and productive infection. Using these reporters, we show that Nef does not affect the establishment of immediate viral latency ...
Cindy Lam, Ivan Sadowski
wiley +1 more source
Playing The Game After The End Of Art: Comments For Hans Maes [PDF]
In his philosophy of art history, Arthur C. Danto claims that in the 1960 ́s the master narrative of art had come to an end, and that we had reached the end of art. This conception has been widely considered, but also misunderstood.
Puolakka, Kalle
core
Generic Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers
In this paper, we present a black-box attack against API call based machine learning malware classifiers, focusing on generating adversarial sequences combining API calls and static features (e.g., printable strings) that will be misclassified by the ...
G Tandon +4 more
core +1 more source
Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3
ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende +26 more
wiley +1 more source
See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG
The Histogram of Oriented Gradient (HOG) descriptor has led to many advances in computer vision over the last decade and is still part of many state of the art approaches. We realize that the associated feature computation is piecewise differentiable and
Chiu, Wei-Chen, Fritz, Mario
core +1 more source
Neonatal Seizure Detection using Convolutional Neural Networks [PDF]
This study presents a novel end-to-end architecture that learns hierarchical representations from raw EEG data using fully convolutional deep neural networks for the task of neonatal seizure detection.
Boylan, Geraldine +3 more
core +1 more source

