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» Gaussian Process Change Point Models
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CVPR
2000
IEEE
15 years 11 months ago
Fixed Topology Skeletons
In this paper, we present a novel approach to robust skeleton extraction. We use undirected graphs to model connectivity of the skeleton points. The graph topology remains unchang...
Polina Golland, W. Eric L. Grimson
91
Voted
ICIP
2007
IEEE
15 years 11 months ago
Color Image Superresolution Based on a Stochastic Combinational Classification-Regression Algorithm
Abstract - The proposed algorithm in this work provides superresolution for color images by using a learning based technique that utilizes both generative and discriminant approach...
Karl S. Ni, Truong Q. Nguyen
VTC
2010
IEEE
167views Communications» more  VTC 2010»
14 years 7 months ago
The Impact of Fading on the Outage Probability in Cognitive Radio Networks
Abstract--This paper analyzes the outage probability in cognitive radio networks, based on the Poisson point process model of node spatial distribution and the standard propagation...
Yaobin Wen, Sergey Loyka, Abbas Yongaçoglu
ECCV
2008
Springer
15 years 11 months ago
Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors
We propose an approach for detecting objects in large-scale range datasets that combines bottom-up and top-down processes. In the bottom-up stage, fast-to-compute local descriptors...
Alexander Patterson, Philippos Mordohai, Kostas Da...
104
Voted
NECO
2011
14 years 4 months ago
Mechanisms That Modulate the Transfer of Spiking Correlations
Correlations between neuronal spike trains impact network dynamics and population coding. Overlapping afferent populations and correlations between presynaptic spike trains intro...
Robert Rosenbaum, Kresimir Josic