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NIPS
2000
13 years 9 months ago
Rate-coded Restricted Boltzmann Machines for Face Recognition
We describe a neurally-inspired, unsupervised learning algorithm that builds a non-linear generative model for pairs of face images from the same individual. Individuals are then ...
Yee Whye Teh, Geoffrey E. Hinton
C5
2007
IEEE
14 years 2 months ago
Syncing Croquet with the Real World
3D virtual environments like Croquet need to be attractive in order to be visited and used. Their attractiveness depends on the level of vitality that the user is able to experien...
Grit Schuster, Christine Strothotte, Carola Zwick
AAAI
2012
11 years 10 months ago
A Testbed for Learning by Demonstration from Natural Language and RGB-Depth Video
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
Young Chol Song, Henry A. Kautz
EWSN
2009
Springer
14 years 8 months ago
MVSink: Incrementally Building In-Network Aggregation Trees
Abstract. In-network data aggregation is widely recognized as an acceptable means to reduce the amount of transmitted data without adversely affecting the quality of the results. T...
Leonardo L. Fernandes, Amy L. Murphy
CCS
2009
ACM
14 years 2 months ago
Learning your identity and disease from research papers: information leaks in genome wide association study
Genome-wide association studies (GWAS) aim at discovering the association between genetic variations, particularly single-nucleotide polymorphism (SNP), and common diseases, which...
Rui Wang, Yong Fuga Li, XiaoFeng Wang, Haixu Tang,...