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IPSN
2003
Springer
15 years 12 months ago
Hypothesis Testing over Factorizations for Data Association
Abstract. The issue of data association arises frequently in sensor networks; whenever multiple sensors and sources are present, it may be necessary to determine which observations...
Alexander T. Ihler, John W. Fisher III, Alan S. Wi...
CORR
1999
Springer
118views Education» more  CORR 1999»
15 years 6 months ago
Supervised Grammar Induction Using Training Data with Limited Constituent Information
Corpus-based grammar induction generally relies on hand-parsed training data to learn the structure of the language. Unfortunately, the cost of building large annotated corpora is...
Rebecca Hwa
ICAI
2010
15 years 4 months ago
An Efficient Sequential Covering Algorithm for Explaining Subsets of Data
Given a subset of data that differs from the rest, a user often wants an explanation as to why this is the case. For instance, in a database of flights, a user may want to understa...
Matthew Michelson, Sofus A. Macskassy
ICASSP
2011
IEEE
14 years 10 months ago
Sensing-aware classification with high-dimensional data
In many applications decisions must be made about the state of an object based on indirect noisy observation of highdimensional data. An example is the determination of the presen...
Burkay Orten, Prakash Ishwar, W. Clem Karl, Venkat...
CVPR
2007
IEEE
16 years 1 months ago
Multiple Target Tracking Using Spatio-Temporal Markov Chain Monte Carlo Data Association
We propose a framework for general multiple target tracking, where the input is a set of candidate regions in each frame, as obtained from a state of the art background learning, ...
Qian Yu, Gérard G. Medioni, Isaac Cohen