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Locality Preserving Matching

International Journal of Computer Vision, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jiayi Ma 0001   +4 more
openaire   +2 more sources

Locality-Preserving Oblivious RAM

Journal of Cryptology, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gilad Asharov   +5 more
openaire   +1 more source

Long-Term Results of Organ Preservation in Patients with Rectal Adenocarcinoma Treated with Total Neoadjuvant Therapy: The Randomized Phase II OPRA Trial

Journal of Clinical Oncology, 2023
Clinical trials frequently include multiple end points that mature at different times. The initial report, typically based on the primary end point, may be published when key planned co-primary or secondary analyses are not yet available.
F. Verheij   +42 more
semanticscholar   +1 more source

Preserving local topological relationships

Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems, 2006
Topological relationships between objects in space are of great importance in many disciplines. Recently, topological relationships have been defined for complex spatial objects. However, this definition only expresses topological relationships between complex spatial objects as a whole (global view); therefore,topological information between the ...
Mark McKenney   +3 more
openaire   +1 more source

Locality preserving speaker clustering

2009 IEEE International Conference on Multimedia and Expo, 2009
In this paper, we propose an efficient speaker clustering approach based on a locality preserving linear projective mapping in the Gaussian mixture model (GMM) mean supervector space. While the GMM mean supervector has turned out to be an effective representation of speakers, its dimensionality is usually very high.
Stephen M. Chu   +2 more
openaire   +1 more source

Optimal Locality Preserving Projection

2010 IEEE International Conference on Image Processing, 2010
In the past few years, the computer vision and pattern recognition community has witnessed a rapid growth of a new kind of feature extraction method, the manifold learning methods, which attempt to project the original data into a lower dimensional feature space by preserving the local neighborhood structure.
Haitao Zhao 0002, Shaoyuan Sun
openaire   +1 more source

Locality Preserving Discriminative Hashing

Proceedings of the 22nd ACM international conference on Multimedia, 2014
Hashing for large scale similarity search has become more and more popular because of its improvement in computational speed and storage reduction. Semi-supervised Hashing (SSH) has been proven effective since it integrates both labeled and unlabeled data to leverage semantic similarity while keeping robust to overfitting.
Kang Zhao   +3 more
openaire   +1 more source

Salvage Surgery With Organ Preservation for Patients With Local Regrowth After Watch and Wait: Is It Still Possible?

Diseases of the Colon & Rectum, 2020
Supplemental Digital Content is available in the text. BACKGROUND: Patients with rectal cancer who achieve complete clinical response after neoadjuvant chemoradiation have been managed nonoperatively.
L. Fernandez   +12 more
semanticscholar   +1 more source

Enhanced Locality Preserving Projections

2008 International Conference on Computer Science and Software Engineering, 2008
In pattern recognition, feature extraction techniques are widely employed to reduce the dimensionality of data. In this paper, a new manifold learning algorithm, called Enhanced Locality Preserving Projections, to identify the underlying manifold structure of a data set.
Kezheng Lin, Sheng Lin, Dongmei Chen
openaire   +1 more source

Local Spectral Radius Preservers

Integral Equations and Operator Theory, 2013
Let \(X\) be an infinite-dimensional complex Banach space and \(\mathcal B(X)\) the space of all bounded operators on \(X\). The authors show that, if \(\varphi\) is a surjective map on \(\mathcal B(X)\) such that \(\mathrm r_{T-S}(x)=0\) if and only if \(\mathrm r_{\varphi(T)-\varphi(S)}(x)=0\) for every \(x\in X\) and \(S,T\in\mathcal B(X)\), then ...
Bourhim, Abdellatif, Mashreghi, Javad
openaire   +1 more source

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