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» Experimental Evaluation of Hierarchical Hidden Markov Models
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SIGIR
2005
ACM
15 years 7 months ago
Combining eye movements and collaborative filtering for proactive information retrieval
We study a new task, proactive information retrieval by combining implicit relevance feedback and collaborative filtering. We have constructed a controlled experimental setting, ...
Kai Puolamäki, Jarkko Salojärvi, Eerika ...
ICPR
2006
IEEE
16 years 3 months ago
Unusual Event Detection via Multi-camera Video Mining
This paper describes a framework for detecting unusual events in surveillance videos. Most surveillance systems consist of multiple video streams, but traditional event detection ...
Hanning Zhou, Don Kimber
ICDAR
2003
IEEE
15 years 7 months ago
Optimizing the Number of States, Training Iterations and Gaussians in an HMM-based Handwritten Word Recognizer
In off-line handwriting recognition, classifiers based on hidden Markov models (HMMs) have become very popular. However, while there exist well-established training algorithms, s...
Simon Günter, Horst Bunke
ICMCS
2009
IEEE
146views Multimedia» more  ICMCS 2009»
14 years 11 months ago
Boosting multi-modal camera selection with semantic features
In this work semantic features are used to improve the results of the camera selection. These semantic features are group action, person action and person speaking. For this purpo...
Benedikt Hörnler, Dejan Arsic, Björn Sch...
TITB
2010
95views Education» more  TITB 2010»
14 years 8 months ago
Sleep staging based on signals acquired through bed sensor
We describe a system for the evaluation of the sleep macrostructure on the basis of Emfit sensor foils placed into bed mattress and of advanced signal processing. The signals on wh...
Juha M. Kortelainen, Martin O. Mendez, Anna M. Bia...