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» A supervised learning approach for imbalanced data sets
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ICML
2008
IEEE
16 years 5 months ago
Sparse multiscale gaussian process regression
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
Bernhard Schölkopf, Christian Walder, Kwang I...
EDBT
2006
ACM
118views Database» more  EDBT 2006»
16 years 4 months ago
On Honesty in Sovereign Information Sharing
Abstract. We study the following problem in a sovereign informationsharing setting: How to ensure that the individual participants, driven solely by self-interest, will behave hone...
Rakesh Agrawal, Evimaria Terzi
CVPR
2010
IEEE
16 years 16 days ago
Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities
Detecting objects in cluttered scenes and estimating articulated human body parts are two challenging problems in computer vision. The difficulty is particularly pronounced in ac...
Bangpeng Yao, Li Fei-Fei
MLDM
2009
Springer
15 years 10 months ago
Regional Pattern Discovery in Geo-referenced Datasets Using PCA
Existing data mining techniques mostly focus on finding global patterns and lack the ability to systematically discover regional patterns. Most relationships in spatial datasets ar...
Oner Ulvi Celepcikay, Christoph F. Eick, Carlos Or...
MLMI
2007
Springer
15 years 10 months ago
Modeling Vocal Interaction for Segmentation in Meeting Recognition
Automatic segmentation is an important technology for both automatic speech recognition and automatic speech understanding. In meetings, participants typically vocalize for only a ...
Kornel Laskowski, Tanja Schultz