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» Learning a Classification Model for Segmentation
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IHI
2010
106views Healthcare» more  IHI 2010»
14 years 9 months ago
Identifying opportunities for inpatient-centric technology
The evolution from a disease-centered model of care to a more patient-centered model presents opportunities for going beyond designing technology to support medical professionals ...
Meredith M. Skeels, Desney S. Tan
143
Voted
JMLR
2010
145views more  JMLR 2010»
14 years 9 months ago
Parallelizable Sampling of Markov Random Fields
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
James Martens, Ilya Sutskever
162
Voted
JSAC
2010
146views more  JSAC 2010»
14 years 9 months ago
NLOS identification and mitigation for localization based on UWB experimental data
Abstract--Sensor networks can benefit greatly from locationawareness, since it allows information gathered by the sensors to be tied to their physical locations. Ultra-wide bandwid...
Stefano Maranò, Wesley M. Gifford, Henk Wym...
SIAMMAX
2010
189views more  SIAMMAX 2010»
14 years 9 months ago
Fast Algorithms for the Generalized Foley-Sammon Discriminant Analysis
Linear Discriminant Analysis (LDA) is one of the most popular approaches for feature extraction and dimension reduction to overcome the curse of the dimensionality of the high-dime...
Lei-Hong Zhang, Li-Zhi Liao, Michael K. Ng
COST
2008
Springer
186views Multimedia» more  COST 2008»
15 years 4 months ago
Automatic Motherese Detection for Face-to-Face Interaction Analysis
This paper deals with emotional speech detection in home movies. In this study, we focus on infant-directed speech also called "motherese" which is characterized by highe...
Ammar Mahdhaoui, Mohamed Chetouani, Cong Zong, Raq...