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CVPR
1998
IEEE
16 years 8 months ago
Histogram Model for 3D Textures
Image texture can arise not only from surface albedo variations (2D texture) but also from surface height variations (3D texture). Since the appearance of 3D texture depends on th...
Kristin J. Dana, Shree K. Nayar
ICCV
1999
IEEE
16 years 8 months ago
A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and synthesizing figure motion has employed eit...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Ke...
HPCC
2007
Springer
15 years 10 months ago
An Exploration of Performance Attributes for Symbolic Modeling of Emerging Processing Devices
Vector, emerging (homogenous and heterogeneous) multi-core and a number of accelerator processing devices potentially offer an order of magnitude speedup for scientific application...
Sadaf R. Alam, Nikhil Bhatia, Jeffrey S. Vetter
JOT
2010
117views more  JOT 2010»
15 years 5 months ago
Formal Model and DSL for Separation of Concerns based on Views
The separation of concerns (SOC), as a conceptual tool, enables us to manage the complexity of software systems that we develop. The benefits of this paradigm, such as reuse, enhan...
Mehdi Adda, Hamid Mcheick, Hafedh Mili
CVPR
2003
IEEE
16 years 8 months ago
An Efficient Approach to Learning Inhomogeneous Gibbs Model
Inhomogeneous Gibbs model (IGM) [4] is an effective maximum entropy model in characterizing complex highdimensional distributions. However, its training process is so slow that th...
Ziqiang Liu, Hong Chen, Heung-Yeung Shum