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» Causal inference using the algorithmic Markov condition
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2007
198views Robotics» more  RSS 2007»
15 years 6 months ago
CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching
— Matching laser range scans observed at different points in time is a crucial component of many robotics tasks, including mobile robot localization and mapping. While existing t...
Fabio T. Ramos, Dieter Fox, Hugh F. Durrant-Whyte
JMLR
2006
143views more  JMLR 2006»
15 years 4 months ago
Segmental Hidden Markov Models with Random Effects for Waveform Modeling
This paper proposes a general probabilistic framework for shape-based modeling and classification of waveform data. A segmental hidden Markov model (HMM) is used to characterize w...
Seyoung Kim, Padhraic Smyth
ICDE
2011
IEEE
207views Database» more  ICDE 2011»
14 years 8 months ago
Monte Carlo query processing of uncertain multidimensional array data
— Array database systems are architected for scientific and engineering applications. In these applications, the value of a cell is often imprecise and uncertain. There are at le...
Tingjian Ge, David Grabiner, Stanley B. Zdonik
KDD
2004
ACM
170views Data Mining» more  KDD 2004»
16 years 5 months ago
Why collective inference improves relational classification
Procedures for collective inference make simultaneous statistical judgments about the same variables for a set of related data instances. For example, collective inference could b...
David Jensen, Jennifer Neville, Brian Gallagher
ICASSP
2011
IEEE
14 years 8 months ago
A modified MAP criterion based on hidden Markov model for voice activity detecion
The maximum a posteriori (MAP) criterion is broadly used in the statistical model-based voice activity detection (VAD) approaches. In the conventional MAP criterion, however, the ...
Shiwen Deng, Jiqing Han, Tieran Zheng, Guibin Zhen...