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» Virtualizing Real-World Objects
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99
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IJON
2007
96views more  IJON 2007»
15 years 2 months ago
Suppressive effects in visual search: A neurocomputational analysis of preview search
In the real world, visual information is selected over time as well as space, when we prioritise new stimuli for attention. Watson and Humphreys [Visual marking: prioritising sele...
Eirini Mavritsaki, Dietmar Heinke, Glyn W. Humphre...
TIP
2002
99views more  TIP 2002»
15 years 2 months ago
Reconstructing images from their most singular fractal manifold
Real world images are complex objects, difficult to describe but at the same time possessing a high degree of redundancy. A very recent study [1] on the statistical properties of n...
Antonio Turiel, Angela del Pozo
108
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WAIM
2010
Springer
15 years 23 days ago
Hotspot District Trajectory Prediction
Trajectory prediction (TP) of moving objects has grown rapidly to be a new exciting paradigm. However, existing prediction algorithms mainly employ kinematical models to approximat...
Hongjun Li, Changjie Tang, Shaojie Qiao, Yue Wang,...
139
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IDA
2009
Springer
15 years 4 days ago
Context-Based Distance Learning for Categorical Data Clustering
Abstract. Clustering data described by categorical attributes is a challenging task in data mining applications. Unlike numerical attributes, it is difficult to define a distance b...
Dino Ienco, Ruggero G. Pensa, Rosa Meo
168
Voted
CVPR
2012
IEEE
13 years 4 months ago
Are we ready for autonomous driving? The KITTI vision benchmark suite
Today, visual recognition systems are still rarely employed in robotics applications. Perhaps one of the main reasons for this is the lack of demanding benchmarks that mimic such ...
Andreas Geiger, Philip Lenz, Raquel Urtasun