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ICDM
2009
IEEE
167views Data Mining» more  ICDM 2009»
14 years 9 months ago
Self-Adaptive Anytime Stream Clustering
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
Philipp Kranen, Ira Assent, Corinna Baldauf, Thoma...
EXPERT
2010
145views more  EXPERT 2010»
14 years 9 months ago
Interaction Analysis with a Bayesian Trajectory Model
Human behavior recognition is one of the most important and challenging objectives performed by intelligent vision systems. Several issues must be faced in this domain ranging fro...
Alessio Dore, Carlo S. Regazzoni
CVPR
2011
IEEE
14 years 9 months ago
Dynamic Batch Mode Active Learning
Active learning techniques have gained popularity in reducing human effort to annotate data instances for inducing a classifier. When faced with large quantities of unlabeled dat...
Shayok Chakraborty, Vineeth Balasubramanian, Sethu...
CSCW
2011
ACM
14 years 6 months ago
CoupleVIBE: mobile implicit communication to improve awareness for (long-distance) couples
Long-distance couples face considerable communication challenges in their relationships. Unlike collocated couples, long-distance couples lack awareness cues associated with physi...
Elizabeth Bales, Kevin A. Li, William Griwsold
INTERSPEECH
2010
14 years 6 months ago
On the relation of Bayes risk, word error, and word posteriors in ASR
In automatic speech recognition, we are faced with a wellknown inconsistency: Bayes decision rule is usually used to minimize sentence (word sequence) error, whereas in practice w...
Ralf Schlüter, Markus Nußbaum-Thom, Her...