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» An Overview of Associative Classifiers
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80
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NIPS
2008
14 years 11 months ago
MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features
We present a new co-clustering problem of images and visual features. The problem involves a set of non-object images in addition to a set of object images and features to be co-c...
Tae-Kyun Kim, Roberto Cipolla
ICRA
2006
IEEE
108views Robotics» more  ICRA 2006»
15 years 3 months ago
Classifying Knee Pathologies using Instantaneous Screws of the Six Degrees-of-freedom Knee Motion
– We address the problem of knee pathology assessment by using screw theory to describe the knee motion and by using the screw representation of the motion as an input to a machi...
Alon Wolf, Amir Degani
DAWAK
2006
Springer
15 years 1 months ago
Learning Classifiers from Distributed, Ontology-Extended Data Sources
Abstract. There is an urgent need for sound approaches to integrative and collaborative analysis of large, autonomous (and hence, inevitably semantically heterogeneous) data source...
Doina Caragea, Jun Zhang 0002, Jyotishman Pathak, ...
TNN
2008
132views more  TNN 2008»
14 years 9 months ago
Just-in-Time Adaptive Classifiers - Part I: Detecting Nonstationary Changes
Abstract--The stationarity requirement for the process generating the data is a common assumption in classifiers' design. When such hypothesis does not hold, e.g., in applicat...
Cesare Alippi, Manuel Roveri
69
Voted
IJCNN
2006
IEEE
15 years 3 months ago
Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing
—Event-related potentials (ERPs) recorded at the scalp are indicators of brain activity associated with eventrelated information processing; hence they may be suitable for the as...
Akaysha C. Tang, Matthew T. Sutherland, Christophe...