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ICML
2010
IEEE
13 years 8 months ago
Learning Deep Boltzmann Machines using Adaptive MCMC
When modeling high-dimensional richly structured data, it is often the case that the distribution defined by the Deep Boltzmann Machine (DBM) has a rough energy landscape with man...
Ruslan Salakhutdinov
CDC
2009
IEEE
225views Control Systems» more  CDC 2009»
14 years 13 days ago
High performance adaptive robust control for nonlinear system with unknown input backlash
—A high performance adaptive robust control (ARC) algorithm is developed for a class of nonlinear system with unknown input backlash, parametric uncertainties and uncertain nonli...
Jian Guo, Bin Yao, Qingwei Chen, Xiaobei Wu
IJVR
2007
101views more  IJVR 2007»
13 years 7 months ago
Affective Multimodal Control of Virtual
—In this paper we report about the use of computer generated affect to control body and mind of cognitively modeled virtual characters. We use the computational model of affect A...
Martin Klesen, Patrick Gebhard
IPPS
2008
IEEE
14 years 2 months ago
Modeling and analysis of power in multicore network processors
With the emergence of multicore network processors in support of high-performance computing and networking applications, power consumption has become a problem of increasing signi...
S. Huang, Y. Luo, W. Feng
ICPR
2002
IEEE
14 years 8 months ago
Face Detection and Synthesis Using Markov Random Field Models
Markov Random Fields (MRFs) are proposed as viable stochastic models for the spatial distribution of gray level intensities for images of human faces. These models are trained usi...
Sarat C. Dass, Anil K. Jain, Xiaoguang Lu