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» Exploiting Context When Learning to Classify
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CVPR
2012
IEEE
11 years 10 months ago
Contextual Boost for Pedestrian Detection
Pedestrian detection from images is an important and yet challenging task. The conventional methods usually identify human figures using image features inside the local regions. In...
Yuanyuan Ding, Jing Xiao
LWA
2008
13 years 9 months ago
Determining the Polarity of Postings for Discussion Search
When performing discussion search it might be desirable to consider non-topical measures like the number of positive and negative replies to a posting, for instance as one possibl...
Ingo Frommholz, Marc Lechtenfeld
ICONIP
2009
13 years 5 months ago
Exploring Early Classification Strategies of Streaming Data with Delayed Attributes
In contrast to traditional machine learning algorithms, where all data are available in batch mode, the new paradigm of streaming data poses additional difficulties, since data sam...
Mónica Millán-Giraldo, J. Salvador S...
DEXAW
1999
IEEE
152views Database» more  DEXAW 1999»
13 years 12 months ago
Advanced Metrics for Class-Driven Similarity Search
This paper presents two metrics for the Nearest Neighbor Classifier that share the property of being adapted, i.e. learned, on a set of data. Both metrics can be used for similari...
Paolo Avesani, Enrico Blanzieri, Francesco Ricci
JMLR
2000
134views more  JMLR 2000»
13 years 7 months ago
Learning with Mixtures of Trees
This paper describes the mixtures-of-trees model, a probabilistic model for discrete multidimensional domains. Mixtures-of-trees generalize the probabilistic trees of Chow and Liu...
Marina Meila, Michael I. Jordan