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ICML
2005
IEEE
15 years 10 months ago
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
Xiaojin Zhu, John D. Lafferty
ISBI
2002
IEEE
15 years 10 months ago
Early detection of breast cancer using thermal texture maps
This paper focuses on the discussion of using thermal infrared imaging (TIR) in early detection of breast cancer. We use the term thermal texture maps to represent the images captu...
Hairong Qi, P. T. Kuruganti, Zhongqi Liu
HPCA
2007
IEEE
15 years 10 months ago
A Scalable, Non-blocking Approach to Transactional Memory
Transactional Memory (TM) provides mechanisms that promise to simplify parallel programming by eliminating the need for locks and their associated problems (deadlock, livelock, pr...
Hassan Chafi, Jared Casper, Brian D. Carlstrom, Au...
CVPR
2010
IEEE
15 years 6 months ago
Learning Full Pairwise Affinities for Spectral Segmentation
This paper studies the problem of learning a full range of pairwise affinities gained by integrating local grouping cues for spectral segmentation. The overall quality of the spect...
Tae Hoon Kim (Seoul National University), Kyoung M...
ICC
2009
IEEE
15 years 4 months ago
A Laplace Transform-Based Method to Stochastic Path Finding
—Finding the most likely path satisfying a requested additive Quality-of-Service (QoS) value, such as delay, when link metrics are defined as random variables by known probabili...
Suleyman Uludag, Ziyneti Elif Uludag, Klara Nahrst...