Results 31 to 40 of about 335,663 (179)
On distributed virtual network embedding with guarantees [PDF]
, 2016 To provide wide-area network services, resources from different infrastructure providers are needed. Leveraging the consensus-based resource allocation literature, we propose a general distributed auction mechanism for the (NP-hard) virtual network (VNET)
Di Paola, Donato +2 more
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SMART CAMERA WITH EMBEDDED TRACKING ALGORITHM
IFAC Proceedings Volumes, 2007 no ...
Dias, Fabio +3 more
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Incremental Locally Linear Embedding Algorithm [PDF]
, 2005 A number of manifold learning algorithms have been recently proposed, including locally linear embedding (LLE). These algorithms not only merely reduce data dimensionality, but also attempt to discover a true low dimensional structure of the data. The common feature of the most of these algorithms is that they operate in a batch or offline mode. Hence,
Olga Kouropteva +2 more
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Reversible Data Hiding Algorithm in Encrypted Domain Based on Image Interpolation
IEEE Access, 2023 This study proposes a large capacity, reversible, and separable algorithm based on adaptive embedding to address the issues plaguing reversible data hiding in the encrypted images (RDH-EI) algorithms, such as reversibility, low embedding rate, and ...
Siyao Zhong, Yu Lu, Xiangguang Xiong
doaj +1 more source
Out-of-Sample Extension for Dimensionality Reduction of Noisy Time Series
, 2017 This paper proposes an out-of-sample extension framework for a global manifold learning algorithm (Isomap) that uses temporal information in out-of-sample points in order to make the embedding more robust to noise and artifacts. Given a set of noise-free
Dadkhahi, Hamid +2 more
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Theoretical Computer Science, 1997 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Constant approximation algorithms for embedding graph metrics into trees and outerplanar graphs
, 2010 In this paper, we present a simple factor 6 algorithm for approximating the optimal multiplicative distortion of embedding a graph metric into a tree metric (thus improving and simplifying the factor 100 and 27 algorithms of B\v{a}doiu, Indyk, and ...
Chepoi, Victor +4 more
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Out-of-sample generalizations for supervised manifold learning for classification [PDF]
, 2015 Supervised manifold learning methods for data classification map data samples residing in a high-dimensional ambient space to a lower-dimensional domain in a structure-preserving way, while enhancing the separation between different classes in the ...
Guillemot, Christine, Vural, Elif
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Embed and Conquer: Scalable Embeddings for Kernel k-Means on MapReduce [PDF]
, 2014 The kernel $k$-means is an effective method for data clustering which extends the commonly-used $k$-means algorithm to work on a similarity matrix over complex data structures.
Elgohary, Ahmed +3 more
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Fiber-Wireless Network Virtual Resource Embedding Method Based on Load Balancing and Priority
IEEE Access, 2018 Network virtualization is becoming one of the most promising ways to solve resource solidification problem of fiber-wireless access networks. To fully utilize substrate resources, a virtual resource embedding method including three sub-mechanisms is ...
Siya Xu +3 more
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