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Dynamic Voxels Based on Ego-Conditioned Prediction: An Integrated Spatio-Temporal Framework for Motion Planning

Related publications (36)

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Predicting User-Cell Association in Cellular Networks from Tracked Data

Jean-Yves Le Boudec

We consider the problem of predicting user location in the form of user-cell association in a cellular wireless network. This is motivated by resource optimization, for example switching base transceiver stations on or off to save on network energy consump ...

Springer Verlag2009

Dynamic feature selection for hardware prediction

Babak Falsafi

Most hardware predictors are table based (e.g. two-level branch predictors) and have exponential size growth in the number of input bits or features (e.g. previous branch outcomes). This growth severely limits the amount of predictive information that such ...

2006

Cognitive navigation based on non-uniform Gabor space sampling, unsupervised growing networks, and reinforcement learning

Wulfram Gerstner

We study spatial learning and navigation for autonomous agents. A state space representation is constructed by unsupervised Hebbian learning during exploration. As a result of learning, a representation of the continuous two-dimensional (2-D) manifold in t ...

Institute of Electrical and Electronics Engineers2004

Spline projection-based volume-to-image registration

Slavica Jonic

This thesis focuses on the rigid-body registration of a three-dimensional model of an object to a set of its two-dimensional projections. The main contribution is the development of two registration algorithms that use a continuous model of the volume base ...

EPFL2003

Dynamic Data Dependence Tracking and Its Application to Branch Prediction

Lei Chen

To continue to improve processor performance, microarchitects seek to increase the effective instruction level parallelism (ILP) that can be exploited in applications. A fundamental limit to improving ILP is data dependences among instructions. If data dep ...

2003

Branch Prediction for Free

James Richard Larus

Many compilers rely on branch prediction to improve program performance by identifying frequently executed regions and by aiding in scheduling instructions.Profile-based predictors require a time-consuming and inconvenient compile-profile-compile cycle in ...

ACM1993