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» A Bayesian Approach to Tackling Hard Computational Problems
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APVIS
2010
13 years 5 months ago
Visual analysis of high dimensional point clouds using topological landscapes
In this paper, we present a novel three-stage process to visualize the structure of point clouds in arbitrary dimensions. To get insight into the structure and complexity of a dat...
Patrick Oesterling, Christian Heine, Heike Jä...
ICASSP
2010
IEEE
13 years 11 months ago
Statistical inference for single- and multi-band Probabilistic Amplitude Demodulation
Amplitude demodulation is an ill-posed problem and so it is natural to treat it from a Bayesian viewpoint, inferring the most likely carrier and envelope under probabilistic const...
Richard E. Turner, Maneesh Sahani

Publication
922views
15 years 5 months ago
Multi-Class Active Learning for Image Classification
One of the principal bottlenecks in applying learning techniques to classification problems is the large amount of labeled training data required. Especially for images and video, ...
Ajay J. Joshi, Fatih Porikli, Nikolaos Papanikolop...
SIAMJO
2010
87views more  SIAMJO 2010»
13 years 5 months ago
Universal Rigidity and Edge Sparsification for Sensor Network Localization
Owing to their high accuracy and ease of formulation, there has been great interest in applying convex optimization techniques, particularly that of semidefinite programming (SDP)...
Zhisu Zhu, Anthony Man-Cho So, Yinyu Ye
ACL
2011
13 years 2 months ago
Local and Global Algorithms for Disambiguation to Wikipedia
Disambiguating concepts and entities in a context sensitive way is a fundamental problem in natural language processing. The comprehensiveness of Wikipedia has made the online enc...
Lev-Arie Ratinov, Dan Roth, Doug Downey, Mike Ande...