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TIT
2008
224views more  TIT 2008»
14 years 10 months ago
Graph-Based Semi-Supervised Learning and Spectral Kernel Design
We consider a framework for semi-supervised learning using spectral decomposition-based unsupervised kernel design. We relate this approach to previously proposed semi-supervised l...
Rie Johnson, Tong Zhang
PAMI
2007
92views more  PAMI 2007»
14 years 9 months ago
Modeling and Predicting Face Recognition System Performance Based on Analysis of Similarity Scores
—This paper presents methods of modeling and predicting face recognition (FR) system performance based on analysis of similarity scores. We define the performance of an FR system...
Peng Wang, Qiang Ji, James L. Wayman
TPHOL
2007
IEEE
15 years 4 months ago
Building Formal Method Tools in the Isabelle/Isar Framework
Abstract We present the generic system framework of Isabelle/Isar underlying recent versions of Isabelle. Among other things, Isar provides an infrastructure for Isabelle plug-ins,...
Makarius Wenzel, Burkhart Wolff
ACIVS
2007
Springer
15 years 4 months ago
Spatiotemporal Fusion Framework for Multi-camera Face Orientation Analysis
In this paper, we propose a collaborative technique for face orientation estimation in smart camera networks. The proposed spatiotemporal feature fusion analysis is based on active...
Chung-Ching Chang, Hamid K. Aghajan
RTAS
2007
IEEE
15 years 4 months ago
Preemption Threshold Scheduling: Stack Optimality, Enhancements and Analysis
Using preemption threshold scheduling (PTS) in a multi-threaded real-time embedded system reduces system preemptions and hence reduces run-time overhead while still ensuring real-...
Rony Ghattas, Alexander G. Dean