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Self annealing: Unifying deterministic annealing and relaxation labeling
[chapter]
1997
Lecture Notes in Computer Science
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A new approach |self annealing|is introduced to bring deterministic annealing and relaxation labeling into accord. ...
Deterministic annealing and relaxation labeling algorithms for classi cation and matching are presented and discussed. ...
We thank Haili Chui, Steven Gold, Eric Mjolsness and Paul Stolorz for stimulating discussions. ...
doi:10.1007/3-540-62909-2_83
fatcat:kknuww5j6bay5ht3rixsjysojy
Self-annealing and self-annihilation: unifying deterministic annealing and relaxation labeling
2000
Pattern Recognition
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A new approach-self annealing-is introduced to bring deterministic annealing and relaxation labeling into accord. ...
Deterministic annealing and relaxation labeling algorithms for classification and matching are presented and discussed. ...
Conclusion We have demonstrated that self annealing has the potential to reconcile relaxation labeling and deterministic annealing as applied to matching and labeling problems. ...
doi:10.1016/s0031-3203(99)00077-1
fatcat:vhssxsivf5ae3aea6atc7fopzm
Open-system modeling of quantum annealing: theory and applications
[article]
2021
arXiv
pre-print
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Then we focus on opensystem descriptions of reverse annealing (RA), which is a promising variant and application of quantum annealing. ...
We show that, with various simulation tools, reverse annealing can benefit from the interaction between the annealer and its environment. ...
When a jump occurs, it dominates over the deterministic evolution, which is proportional to dt, and the deterministic part can be ignored. ...
arXiv:2107.07231v1
fatcat:7yf27oie6refzfc62so7jtgcza
Image segmentation and labeling using the Polya urn model
1999
IEEE Transactions on Image Processing
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The asymptotic behavior of this process is examined and comparisons with simulated annealing and relaxation labeling are presented. ...
The composition of the urns is iteratively updated by assuming a spatial Markovian relationship between neighboring pixel labels. ...
Rosenfeld and R. Chellappa for their guidance and many insightful discussions on relaxation labeling and image segmentation. ...
doi:10.1109/83.784436
pmid:18267541
fatcat:izghcaeaq5fyxec3isf76n3qdq
GenRadar: Self-supervised Probabilistic Camera Synthesis based on Radar Frequencies
[article]
2021
arXiv
pre-print
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Then, at inference time, relying exclusively on radio frequencies, the model successively predicts camera constituents in an autoregressive and self-contained process. ...
After reducing the memory requirements of both high-dimensional measurements through a decoupled stochastic self-supervised compression technique, the proposed algorithm exploits similarities and establishes ...
As such, self-supervised learning seems to be a natural fit for the regime of radar data in which labels are rare and hard to come by. ...
arXiv:2107.08948v1
fatcat:kobpuegpi5al3pjqgmeu3wj5ne
10.1162/1532443041827943
2000
Applied Physics Letters
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This paper presents a unified framework for probabilistic model-based clustering based on a bipartite graph view of data and models that highlights the commonalities and differences among existing model-based ...
Two new variations-balanced model-based clustering and hybrid model-based clustering-are discussed and empirically evaluated on a variety of data types. ...
This research was supported in part by an IBM Faculty Partnership Award from IBM/Tivoli and IBM ACAS, and by NSF grant IIS-0307792. ...
doi:10.1162/1532443041827943
fatcat:hcfikbmbfrfhtap2jqmdeqiv4a
GenRadar: Self-supervised Probabilistic Camera Synthesis based on Radar Frequencies
2021
IEEE Access
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Then, at inference time, relying exclusively on radio frequencies, the model successively predicts camera constituents in an autoregressive and self-contained process. ...
After reducing the memory requirements of both high-dimensional measurements through a decoupled stochastic self-supervised compression technique, the proposed algorithm exploits similarities and establishes ...
As such, self-supervised learning seems to be a natural fit for the regime of radar data in which labels are rare and hard to come by. ...
doi:10.1109/access.2021.3120202
fatcat:jxoo7uwxgjcq5bsjqza5gncria
Constraint Integration for Efficient Multiview Pose Estimation with Self-Occlusions
2008
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Automatic initialization and tracking of human pose is an important task in visual surveillance. We present a part-based approach that incorporates a variety of constraints in a unified framework. ...
These constraints include the kinematic constraints between parts that are physically connected to each other, the occlusion of one part by another and the high correlation between the appearance of certain ...
Other approaches include Data Driven Belief Propagation [17] , particle filtering [25] and annealed particle filtering [8] . ...
doi:10.1109/tpami.2007.1173
pmid:18195442
fatcat:h4rdmlexwfellkxm5b3iyufez4
BYY harmony learning, structural RPCL, and topological self-organizing on mixture models
2002
Neural Networks
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The third consists of two strategies for extending the above structural mixtures into self-organized topological maps. ...
with model selection made automatically during learning; (b) model selection criteria for being used after parameter learning, and (c) how these learning algorithms and criteria are obtained from typical ...
the label ' jointly. ...
doi:10.1016/s0893-6080(02)00084-9
pmid:12416699
fatcat:ljv7jowlmje2jhezvdcjeukm6i
The theory and practice of Bayesian image labeling
1990
International Journal of Computer Vision
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Here we examine deterministic iterative relaxation methods for estimating the true labelings. ...
It is a sequential deterministic calculation whose running time is predictable and small [Chou, Brown, and Raman 1987] . (4) Development of a unified treatment of reconstruction and segmentation of ...
doi:10.1007/bf00054995
fatcat:lsjlh63nujcajjdsn2ep6er2xu
A Competitive-Layer Model for Feature Binding and Sensory Segmentation
2001
Neural Computation
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We prove analytic results on the convergence and stable attractors of the CLM, which generalize earlier results on winnertake-all networks, and incorporate deterministic annealing for robustness against ...
For the example of contour detection we show how the CLM can integrate figure-ground segmentation and grouping into a unified model. ...
Acknowledgements The authors would like to thank Ute Bauer and Wolf Jürgen Beyn for helpful discussions. ...
doi:10.1162/089976601300014574
pmid:11177439
fatcat:vbj2slsijnhqdblaqvoconcjfu
Self-Organized Surface Nanopatterning by Ion Beam Sputtering
[chapter]
2009
Toward Functional Nanomaterials
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In any case, re-crystallization or damage reduction may be attained by post-annealing treatments. ...
Fig. 30 . 30 AFM 3 × 3 µm 2 images of Si(001) and Si (111) surfaces sputtered with 1.2 keV Ar + at normal incidence for different times (see labels). ...
doi:10.1007/978-0-387-77717-7_10
fatcat:n642d33edbgilgdv2qgelob4ya
Self-organized surface nanopatterning by ion beam sputtering
[article]
2007
arXiv
pre-print
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We provide an overview of the most recent studies of nanoripple and dot production by ion-beam sputtering, with special attention to the comparison between experiments and (continuum) models, and with ...
However, there is still a wide experimental scatter in the type and relevance of various dynamic interfacial properties induced by this technique as a function of system type and parameters. ...
In any case, re-crystallization or damage reduction may be attained by post-annealing treatments. ...
arXiv:0706.2625v1
fatcat:g5sqlx4slne43lkt3edvo5lknm
Variational Transformers for Diverse Response Generation
[article]
2020
arXiv
pre-print
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Therefore, we propose the Variational Transformer (VT), a variational self-attentive feed-forward sequence model. ...
., machine translation), their deterministic nature hinders them from generalizing to high entropy tasks such as dialogue response generation. ...
We unify the previous successful ideas of CVAE, and explore the combinations of CVAE and Transformer. ...
arXiv:2003.12738v1
fatcat:4ci6sdj6rzgcjm5fbrzimnrzju
An Updated Experimental Evaluation of Graph Bipartization Methods
[article]
2021
arXiv
pre-print
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Other Versions
We also generate a corpus of frustrated cluster loop graphs, which have previously been used to benchmark quantum annealing hardware. ...
Results on exact solvers are split between using ILP formulations on CPLEX and solving VC formulations with a branch-and-reduce solver. ...
Collecting previous code and providing missing implementations, we assemble a unified Python API allowing easy comparison of prior work. ...
arXiv:1805.01041v4
fatcat:iyhfmqnzkbbn5lfkfal227qzbm
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