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» Optimizing Spatial Data Structures For Static Data
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ICPR
2008
IEEE
16 years 3 months ago
Approximating a non-homogeneous HMM with Dynamic Spatial Dirichlet Process
In this work we present a model that uses a Dirichlet Process (DP) with a dynamic spatial constraints to approximate a non-homogeneous hidden Markov model (NHMM). The coefficient ...
Haijun Ren, Leon N. Cooper, Liang Wu, Predrag Nesk...
ICDIM
2009
IEEE
15 years 9 months ago
The mqr-tree: Improving upon a 2-dimensional spatial access method
We propose the mqr-tree, a two-dimensional spatial access method that improves upon the 2DR-tree. The 2DRtree uses two-dimensional nodes so that the relationships between all obje...
Marc Moreau, Wendy Osborn, Brad Anderson
AAAI
2008
15 years 4 months ago
Spatial Scaffolding for Sociable Robot Learning
Spatial scaffolding is a naturally occurring human teaching behavior, in which teachers use their bodies to spatially structure the learning environment to direct the attention of...
Cynthia Breazeal, Matt Berlin
GLOBECOM
2006
IEEE
15 years 8 months ago
Noise Model Analysis of Optimized Mixed-Radix Structures for Pulsed OFDM
Pulsed OFDM (P-OFDM) is a proposed enhancement to Multi-Band Orthogonal Frequency Division Multiplexing which reduces the power and complexity of Ultra Wideband transceivers witho...
Kai-Chuan Chang, Gerald E. Sobelman
JMLR
2008
159views more  JMLR 2008»
15 years 2 months ago
Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies
When monitoring spatial phenomena, which can often be modeled as Gaussian processes (GPs), choosing sensor locations is a fundamental task. There are several common strategies to ...
Andreas Krause, Ajit Paul Singh, Carlos Guestrin