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» Improving Gradient Estimation by Incorporating Sensor Data
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ICPR
2008
IEEE
14 years 9 months ago
Exploiting qualitative domain knowledge for learning Bayesian network parameters with incomplete data
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
Qiang Ji, Wenhui Liao
TASLP
2010
132views more  TASLP 2010»
13 years 2 months ago
Using Reverberation to Improve Range and Elevation Discrimination for Small Array Sound Source Localization
Sound source localization (SSL) is an essential task in many applications involving speech capture and enhancement. As such, speaker localization with microphone arrays has receive...
Flavio Ribeiro, Cha Zhang, Dinei A. F. Florê...
DAGM
2011
Springer
12 years 7 months ago
Multiple Instance Boosting for Face Recognition in Videos
For face recognition from video streams often cues such as transcripts, subtitles or on-screen text are available. This information could be very valuable for improving the recogni...
Paul Wohlhart, Martin Köstinger, Peter M. Rot...
IJRR
2007
186views more  IJRR 2007»
13 years 7 months ago
Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract a person’s activities and significant plac...
Lin Liao, Dieter Fox, Henry A. Kautz
ICCAD
1993
IEEE
101views Hardware» more  ICCAD 1993»
13 years 11 months ago
Convexity-based algorithms for design centering
A new technique for design centering, and for polytope approximation of the feasible region for a design are presented. In the rst phase, the feasible region is approximated by a ...
Sachin S. Sapatnekar, Pravin M. Vaidya, Steve M. K...