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KDD
2007
ACM
202views Data Mining» more  KDD 2007»
16 years 6 months ago
Support feature machine for classification of abnormal brain activity
In this study, a novel multidimensional time series classification technique, namely support feature machine (SFM), is proposed. SFM is inspired by the optimization model of suppo...
Wanpracha Art Chaovalitwongse, Ya-Ju Fan, Rajesh C...
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
13 years 8 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
BMCBI
2011
14 years 9 months ago
Software comparison for evaluating genomic copy number variation for Affymetrix 6.0 SNP array platform
Background: Copy number data are routinely being extracted from genome-wide association study chips using a variety of software. We empirically evaluated and compared four freely-...
Jeanette E. Eckel-Passow, Elizabeth J. Atkinson, S...
ICCV
2007
IEEE
16 years 14 days ago
Scale-Dependent 3D Geometric Features
Three-dimensional geometric data play fundamental roles in many computer vision applications. However, their scale-dependent nature, i.e. the relative variation in the spatial ext...
John Novatnack, Ko Nishino
EWCBR
2004
Springer
15 years 11 months ago
Case-Based Object Recognition
Model-based object recognition is a well-known task in Computer Vision. Usually, one object that can be generalized by a model should be detected in an image based on this model. B...
Petra Perner, Angela Bühring