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ICML
1999
IEEE
16 years 7 months ago
Abstracting from Robot Sensor Data using Hidden Markov Models
ing from Robot Sensor Data using Hidden Markov Models Laura Firoiu, Paul Cohen Computer Science Department, LGRC University of Massachusetts at Amherst, Box 34610 Amherst, MA 01003...
Laura Firoiu, Paul R. Cohen
ALT
2002
Springer
16 years 3 months ago
How to Achieve Minimax Expected Kullback-Leibler Distance from an Unknown Finite Distribution
Abstract. We consider a problem that is related to the “Universal Encoding Problem” from information theory. The basic goal is to find rules that map “partial information”...
Dietrich Braess, Jürgen Forster, Tomas Sauer,...
ICDIM
2008
IEEE
16 years 1 months ago
Unsupervised key-phrases extraction from scientific papers using domain and linguistic knowledge
The domain of Digital Libraries presents specific challenges for unsupervised information extraction to support both the automatic classification of documents and the enhancement ...
Mikalai Krapivin, Maurizio Marchese, Andrei Yadran...
ISBI
2007
IEEE
16 years 29 days ago
Dicovery of "biomarkers" for Alzheimer's Disease Prediction from Structural MR Images
We propose a computational framework for learning predictive image features as “biomarkers” for Alzheimer’s Disease discrimination using high-resolutionMagnetic Resonance (M...
Yanxi Liu, Leonid Teverovskiy, Oscar L. Lopez, How...
ICMCS
2006
IEEE
125views Multimedia» more  ICMCS 2006»
16 years 21 days ago
Label Disambiguation and Sequence Modeling for Identifying Human Activities from Wearable Physiological Sensors
Wearable physiological sensors can provide a faithful record of a patient’s physiological states without constant attention of caregivers. A computer program that can infer huma...
Wei-Hao Lin, Alexander G. Hauptmann