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JCNS
2010
104views more  JCNS 2010»
14 years 8 months ago
A new look at state-space models for neural data
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...
IV
2003
IEEE
148views Visualization» more  IV 2003»
15 years 2 months ago
Real-Time Expressive Rendering of City Models
City models have become central elements for visually communicating spatial information related to urban areas and have manifold applications. Our real-time orealistic rendering t...
Jürgen Döllner, Maike Walther
SCVMA
2004
Springer
15 years 2 months ago
Comparison of Edge-Driven Algorithms for Model-Based Motion Estimation
3D-model-based tracking offers one possibility to explicate the manner in which spatial coherence can be exploited for the analysis of image sequences. Two seemingly different ap...
Hendrik Dahlkamp, Artur Ottlik, Hans-Hellmut Nagel
SCVMA
2004
Springer
15 years 2 months ago
2D Motion Description and Contextual Motion Analysis: Issues and New Models
Abstract. In this paper, several important issues related to visual motion analysis are addressed with a focus on the type of motion information to be estimated and the way context...
Patrick Bouthemy
SAC
2010
ACM
15 years 4 months ago
Modeling cardinal directions in the 3D space with the objects interaction cube matrix
In GIS and spatial databases, cardinal directions are frequently used as selection and join criteria in query languages. However, most cardinal direction models are only able to h...
Tao Chen, Markus Schneider