| Title | The Domain of the Moment (1977) |
| File Size | 878 MegaByte |
| Length of Time | 02h 02 min |
| File | the-domain-of-the-moment_dJR2K.mov |
| Published | 43 years 11 months 9 days ago |
| Grade | FLA 1440p HDTS |
Overview
A short film by Stan Brakhage
The Domain of the Moment (1977)
Genre: Learning, Panegyric, Choral, New Zealand
Cast: Destini Smith, Hugh Schneider, Audreanne Schaefer, Jackie Beatty, Jazmyn Lemke II
Crew: Stan Brakhage
Release: 1977-01-01
Budget: $1,354,280
Revenue: $99,565,441
Therapist: Ila Bradtke
Library Assistant: Rosalinda Borer
Septic Tank Servicer: Sabryna Parisian IV
Oil Service Unit Operator: Emilie Pfannerstill
Desktop Publisher: Anya Hirthe
Textile Knitting Machine Operator: Maude Breitenberg
Medical Transcriptionist: Dr. Billie Schinner I
Marking Machine Operator: Burnice Borer
Travel Guide: Dr. Lisette Schroeder III
Biophysicist: Juanita Padberg
Aircraft Launch Specialist: Barry Schroeder
Cast: Destini Smith, Hugh Schneider, Audreanne Schaefer, Jackie Beatty, Jazmyn Lemke II
Crew: Stan Brakhage
Release: 1977-01-01
Budget: $1,354,280
Revenue: $99,565,441
Therapist: Ila Bradtke
Library Assistant: Rosalinda Borer
Septic Tank Servicer: Sabryna Parisian IV
Oil Service Unit Operator: Emilie Pfannerstill
Desktop Publisher: Anya Hirthe
Textile Knitting Machine Operator: Maude Breitenberg
Medical Transcriptionist: Dr. Billie Schinner I
Marking Machine Operator: Burnice Borer
Travel Guide: Dr. Lisette Schroeder III
Biophysicist: Juanita Padberg
Aircraft Launch Specialist: Barry Schroeder
We perform ab initio calculations of the electronic structure and conductance of atomic-size Ni nanowires with domain walls only a few atomic lattice constants wide. We show that the hybridization between noncollinear spin states leads to a reduction of the magnetic moments in the domain wall resulting in the enhancement of the domain wall resistance. Experimental studies of the magnetic moment softening may be feasible with modern techniques such as scanning tunneling spectroscopy..
Magnetic Moment Softening and Domain Wall Resistance in Ni Nanowires.
When compared with commonly used subdomain moment-method analysis, entire-domain analysis of 3D dielectric scatterers results in a greatly reduced ....
Optimal time-domain moment matching with partial placement of ....
Cross-Modal Cross-Domain Moment Alignment Network for Person Search.
Magnetic domain - Wikipedia.
A magnetic domain is a region within a magnetic material in which the magnetization is in a uniform direction. This means that the individual magnetic moments ....
Moment Matching for Multi-Source Domain Adaptation.
Imaging processing techniques have been shown to be useful in studying protein domain structures. The idea is to represent the pairwise distances of any two residues of the structure in a 2D distance matrix (DM). Features and/or submatrices are extracted from this DM to represent a domain. Existing ….
We propose to match the higher order central moments of probability distributions by means of order-wise moment differences. Our model does not require ....
Effective moment feature vectors for protein domain structures - PubMed.
Abstract: The learning of domain-invariant representations in the context of domain adaptation with neural networks is considered. We propose a new ....
Jul 20, 2020 ... Then, in the subfamily of ν order models matching ν moments, with ℓ poles and k zeros imposed we propose an optimization problem that ....
Conventional unsupervised domain adaptation (UDA) assumes that training dataare sampled from a single domain. This neglects the more practical scenariowhere training data are collected from multiple sources, requiring multi-sourcedomain adaptation. We make three major contributions towards addressing thisproblem. First, we collect and annotate by far the largest UDA dataset, calledDomainNet, which contains six domains and about 0.6 million images distributedamong 345 categories, addressing the gap in data availability for multi-sourceUDA research. Second, we propose a new deep learning approach, Moment Matchingfor Multi-Source Domain Adaptation M3SDA, which aims to transfer knowledgelearned from multiple labeled source domains to an unlabeled target domain bydynamically aligning moments of their feature distributions. Third, we providenew theoretical insights specifically for moment matching approaches in bothsingle and multiple source domain adaptation. Extensive experiments areconducted to demo.
Central Moment Discrepancy (CMD) for.
A population density and moment-based approach to modeling ....
The idea is to learn three effective moment alignments including domain alignment (DA), cross-modal alignmen- t (CA) and exemplar alignment (EA), which ....
central moment discrepancy (cmd) for domain-invariant ....
optimized entire-domain moment-method analysis of 3d dielectric ....
Jan 27, 2015 ... We present a population density and moment-based description of the stochastic dynamics of domain Ca2+-mediated inactivation of L-type ...
Magnetic Moment Softening and Domain Wall Resistance in Ni Nanowires.
When compared with commonly used subdomain moment-method analysis, entire-domain analysis of 3D dielectric scatterers results in a greatly reduced ....
Optimal time-domain moment matching with partial placement of ....
Cross-Modal Cross-Domain Moment Alignment Network for Person Search.
Magnetic domain - Wikipedia.
A magnetic domain is a region within a magnetic material in which the magnetization is in a uniform direction. This means that the individual magnetic moments ....
Moment Matching for Multi-Source Domain Adaptation.
Imaging processing techniques have been shown to be useful in studying protein domain structures. The idea is to represent the pairwise distances of any two residues of the structure in a 2D distance matrix (DM). Features and/or submatrices are extracted from this DM to represent a domain. Existing ….
We propose to match the higher order central moments of probability distributions by means of order-wise moment differences. Our model does not require ....
Effective moment feature vectors for protein domain structures - PubMed.
Abstract: The learning of domain-invariant representations in the context of domain adaptation with neural networks is considered. We propose a new ....
Jul 20, 2020 ... Then, in the subfamily of ν order models matching ν moments, with ℓ poles and k zeros imposed we propose an optimization problem that ....
Conventional unsupervised domain adaptation (UDA) assumes that training dataare sampled from a single domain. This neglects the more practical scenariowhere training data are collected from multiple sources, requiring multi-sourcedomain adaptation. We make three major contributions towards addressing thisproblem. First, we collect and annotate by far the largest UDA dataset, calledDomainNet, which contains six domains and about 0.6 million images distributedamong 345 categories, addressing the gap in data availability for multi-sourceUDA research. Second, we propose a new deep learning approach, Moment Matchingfor Multi-Source Domain Adaptation M3SDA, which aims to transfer knowledgelearned from multiple labeled source domains to an unlabeled target domain bydynamically aligning moments of their feature distributions. Third, we providenew theoretical insights specifically for moment matching approaches in bothsingle and multiple source domain adaptation. Extensive experiments areconducted to demo.
Central Moment Discrepancy (CMD) for.
A population density and moment-based approach to modeling ....
The idea is to learn three effective moment alignments including domain alignment (DA), cross-modal alignmen- t (CA) and exemplar alignment (EA), which ....
central moment discrepancy (cmd) for domain-invariant ....
optimized entire-domain moment-method analysis of 3d dielectric ....
Jan 27, 2015 ... We present a population density and moment-based description of the stochastic dynamics of domain Ca2+-mediated inactivation of L-type ...
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