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PUC
2010
205views more  PUC 2010»
15 years 1 months ago
A database-based framework for gesture recognition
Abstract Gestures are an important modality for human-machine communication. Computer vision modules performing gesture recognition can be important components of intelligent homes...
Vassilis Athitsos, Haijing Wang, Alexandra Stefan
TKDE
2010
224views more  TKDE 2010»
15 years 1 months ago
Non-Negative Matrix Factorization for Semisupervised Heterogeneous Data Coclustering
Coclustering heterogeneous data has attracted extensive attention recently due to its high impact on various important applications, such us text mining, image retrieval, and bioin...
Yanhua Chen, Lijun Wang, Ming Dong
ICASSP
2011
IEEE
14 years 10 months ago
Improving kernel-energy trade-offs for machine learning in implantable and wearable biomedical applications
Emerging biomedical sensors and stimulators offer unprecedented modalities for delivering therapy and acquiring physiological signals (e.g., deep brain stimulators). Exploiting th...
Kyong-Ho Lee, Sun-Yuan Kung, Naveen Verma
SIAMREV
2011
131views more  SIAMREV 2011»
14 years 9 months ago
Magnetic Resonance Electrical Impedance Tomography (MREIT)
Magnetic Resonance Electrical Impedance Tomography (MREIT) is a new medical imaging modality providing high resolution static conductivity images based on the current injection MRI...
Jin Keun Seo, Eung Je Woo
TOG
2012
242views Communications» more  TOG 2012»
13 years 9 months ago
Precomputed acceleration noise for improved rigid-body sound
We introduce an efficient method for synthesizing acceleration noise – sound produced when an object experiences abrupt rigidbody acceleration due to collisions or other contac...
Jeffrey N. Chadwick, Changxi Zheng, Doug L. James