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Self annealing: Unifying deterministic annealing and relaxation labeling [chapter]

Anand Rangarajan
1997 Lecture Notes in Computer Science  
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

Anand Rangarajan
2000 Pattern Recognition  
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]

Ka Wa Yip
2021 arXiv   pre-print
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

A. Banerjee, P. Burlina, F. Alajaji
1999 IEEE Transactions on Image Processing  
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]

Carsten Ditzel, Klaus Dietmayer
2021 arXiv   pre-print
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  
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

Carsten Ditzel, Klaus Dietmayer
2021 IEEE Access  
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

A. Gupta, A. Mittal, L.S. Davis
2008 IEEE Transactions on Pattern Analysis and Machine Intelligence  
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

Lei Xu
2002 Neural Networks  
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

Paul B. Chou, Christopher M. Brown
1990 International Journal of Computer Vision  
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

Heiko Wersing, Jochen J. Steil, Helge Ritter
2001 Neural Computation  
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]

Javier Muñoz-García, Luis Vázquez, Rodolfo Cuerno, José A. Sánchez-García, Mario Castro, Raúl Gago
2009 Toward Functional Nanomaterials  
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]

Javier Muñoz-García, Luis Vázquez, Rodolfo Cuerno, José A. Sánchez-García, Mario Castro, Raúl Gago
2007 arXiv   pre-print
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]

Zhaojiang Lin, Genta Indra Winata, Peng Xu, Zihan Liu, Pascale Fung
2020 arXiv   pre-print
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]

Timothy D. Goodrich, Eric Horton, Blair D. Sullivan
2021 arXiv   pre-print
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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