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» On Graphical Modeling of Preference and Importance
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IROS
2006
IEEE
121views Robotics» more  IROS 2006»
15 years 5 months ago
Planning and Acting in Uncertain Environments using Probabilistic Inference
— An important problem in robotics is planning and selecting actions for goal-directed behavior in noisy uncertain environments. The problem is typically addressed within the fra...
Deepak Verma, Rajesh P. N. Rao
VISUALIZATION
2002
IEEE
15 years 4 months ago
Exploring Surface Characteristics with Interactive Gaussian Images (A Case Study)
The Gauss map projects surface normals to a unit sphere, providing a powerful visualization of the geometry of a graphical object. It can be used to predict visual events caused b...
Bradley C. Lowekamp, Penny Rheingans, Terry S. Yoo
CORR
2010
Springer
163views Education» more  CORR 2010»
14 years 10 months ago
Faster Rates for training Max-Margin Markov Networks
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
IBERAMIA
2004
Springer
15 years 5 months ago
Statistical Inference in Mapping and Localization for Mobile Robots
In this paper we tackle the problem of providing a mobile robot with the ability to build a map of its environment using data gathered during navigation. The data correspond to the...
Anita Araneda, Alvaro Soto
CGF
2011
14 years 3 months ago
Fruit Senescence and Decay Simulation
Aging and imperfections provide important visual cues for realism. We present a novel physically-based approach for simulating the biological aging and decay process in fruits. Th...
Joseph T. Kider Jr., Samantha Raja, Norman I. Badl...