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NIPS
1998
15 years 6 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
UAI
2007
15 years 6 months ago
Aggregating Across Multiple Levels of Granularity to Meet Customer and Organizational Query Requirements
A research organization responds to a variety of customer requests. Each high level request is broken down into a set of low level requests. For each low level request, the resear...
Suzanne M. Mahoney
GISCIENCE
2008
Springer
123views GIS» more  GISCIENCE 2008»
15 years 6 months ago
A Theory of Change for Attributed Spatial Entities
Abstract. New methods of data collection, in particular the wide range of sensors and sensor networks that are being constructed, with the ability to collect real-time data streams...
John G. Stell, Michael F. Worboys
ICASSP
2010
IEEE
15 years 5 months ago
A convex relaxation for approximate maximum-likelihood 2D source localization from range measurements
This paper addresses the problem of locating a single source from noisy range measurements in wireless sensor networks. An approximate solution to the maximum likelihood location ...
Pinar Oguz-Ekim, João Pedro Gomes, Jo&atild...
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ICASSP
2010
IEEE
15 years 5 months ago
Morphology-based and sub-word language modeling for Turkish speech recognition
We explore morphology-based and sub-word language modeling approaches proposed for morphologically rich languages, and evaluate and contrast them for Turkish broadcast news transc...
Hasim Sak, Murat Saraclar, Tunga Güngör
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