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» Experimental Analysis of BRDF Models
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ICCV
2009
IEEE
16 years 8 months ago
Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems
We use concepts from chaos theory in order to model nonlinear dynamical systems that exhibit deterministic behavior. Observed time series from such a system can be embedded into...
Arslan Basharat, Mubarak Shah
146
Voted
ICCV
1999
IEEE
16 years 5 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...
DAC
2008
ACM
16 years 4 months ago
Stochastic modeling of a thermally-managed multi-core system
Achieving high performance under a peak temperature limit is a first-order concern for VLSI designers. This paper presents a new model of a thermally-managed system, where a stoch...
Hwisung Jung, Peng Rong, Massoud Pedram
KDD
2006
ACM
177views Data Mining» more  KDD 2006»
16 years 4 months ago
Topics over time: a non-Markov continuous-time model of topical trends
This paper presents an LDA-style topic model that captures not only the low-dimensional structure of data, but also how the structure changes over time. Unlike other recent work t...
Xuerui Wang, Andrew McCallum
155
Voted
ACCV
2006
Springer
15 years 9 months ago
Fusion of 3D and Appearance Models for Fast Object Detection and Pose Estimation
Real-time estimation of a camera’s pose relative to an object is still an open problem. The difficulty stems from the need for fast and robust detection of known objects in the s...
Hesam Najafi, Yakup Genc, Nassir Navab