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» Embedding Heterogeneous Data Using Statistical Models
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251
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ICASSP
2011
IEEE
14 years 7 months ago
Deep Belief Networks using discriminative features for phone recognition
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
Abdel-rahman Mohamed, Tara N. Sainath, George Dahl...
146
Voted
VR
2009
IEEE
228views Virtual Reality» more  VR 2009»
15 years 10 months ago
Natural Eye Motion Synthesis by Modeling Gaze-Head Coupling
Due to the intrinsic subtlety and dynamics of eye movements, automated generation of natural and engaging eye motion has been a challenging task for decades. In this paper we pres...
Xiaohan Ma, Zhigang Deng
297
Voted
CVPR
2012
IEEE
13 years 8 months ago
Foreground Detection Using Spatiotemporal Projection Kernels
Foreground detection is at the core of many video processing tasks. In this paper, we propose a novel video foreground detection method that exploits the statistics of 3D space-tim...
Y. Moshe, H. Hel-Or, and Y. Hel-Or
150
Voted
ICDE
2009
IEEE
143views Database» more  ICDE 2009»
15 years 10 months ago
Supporting Generic Cost Models for Wide-Area Stream Processing
— Existing stream processing systems are optimized for a specific metric, which may limit their applicability to diverse applications and environments. This paper presents XFlow...
Olga Papaemmanouil, Ugur Çetintemel, John J...
147
Voted
RTSS
2009
IEEE
15 years 10 months ago
Multiprocessor Extensions to Real-Time Calculus
Abstract—Many embedded platforms consist of a heterogeneous collection of processing elements, memory modules, and communication subsystems. These components often implement diff...
Hennadiy Leontyev, Samarjit Chakraborty, James H. ...