References in periodicals archive ?
The integration of QR code reading will be particularly beneficial to lobbies or reception areas when used in conjunction with the self-service touchscreen module (Self-Service Visitor Monitoring - SSVM).
This is even more powerful when used in conjunction with Tensor's new Self Service Android & IOS app (SSVM).
Schnorr, "Variational image denoising with adaptive constraint sets," in Scale Space and Variational Methods in Computer Vision: Third International Conference, SSVM 2011, Ein-Gedi, Israel, May 29June 2, 2011, Revised Selected Papers, vol.
In this study, we collaborate interval regression [15] with SSVM to analyze big data.
Wu, "Augmented lagrangian method, dual methods and split bregman iteration for rof model," in Proceedings of the International Conference on Scale Space Methods and Variational Methods in Computer Vision (SSVM '09), pp.
Specifically, given image features, SSVM with similarity metric embedding is used for image ranking, and label propagation with similarity metric embedding is employed for annotation.
Subject LDA SLDA SVM SSVM Bayesian SB S1 87.8 90.0 87.1 92.1 86.4 92.1 S2 74.6 88.3 74.6 85.7 76.1 90.6 S3 64.4 68.2 64.4 65.4 62.2 83.1 S4 71.8 77.1 66.4 66.4 71.2 84.4 S5 64.0 64.0 60.9 63.1 61.4 66.6 S6 61.2 61.2 59.1 57.1 60.4 64.1 S7 61.1 55.0 61.1 57.6 59.8 65.0 S8 95.7 98.0 87.3 96.0 97.1 98.1 S9 78.2 83.6 73.7 84.2 77.9 85.9 S10 77.5 86.4 66.1 73.5 72.1 80.5 S11 78.8 80.1 76.7 83.1 78.2 79.7 S12 90.4 92.4 80.5 88.4 90.8 92.8 S13 82.8 89.8 72.6 87.7 80.8 86.5 Avg.
Author (year) Method Lee and Mangasarian (2001) [7] SSVM (10-fold CV) van Gestel et al.
These NER tasks were usually transformed to sequence annotations and recognized by supervised ML algorithms, such as conditional random field and structural support vector machine (SSVM).
Cremers, "On the statistical interpretation of the piecewise smooth Mumford-Shah functional," in Proceedings of the International Conference Scale Space and Variational Methods in Computer Vision (SSVM 07), pp.
Cremers, "On the statistical interpretation of the piecewise smooth mumford-shah functional," in Scale Space and Variational Methods in Computer Vision: Proceedings of the 1st International Conference, SSVM 2007, Ischia, Italy, May 30June 2, 2007, vol.
[17] investigated the use of structural support vector machines (SSVMs), an algorithm that combines the advantages of both CRFs and SVMs, and word representation features, which contain word-level backoff information over large unlabelled corpus by unsupervised algorithms, for clinical entity recognition.