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» An ICA algorithm for analyzing multiple data sets
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CVPR
2010
IEEE
14 years 5 months ago
Online Multiple Instance Learning with No Regret
Multiple instance (MI) learning is a recent learning paradigm that is more flexible than standard supervised learning algorithms in the handling of label ambiguity. It has been u...
Li Mu, James Kwok, Lu Bao-liang
ICTAI
2006
IEEE
14 years 3 months ago
Learning to Predict Salient Regions from Disjoint and Skewed Training Sets
We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...
CBMS
2005
IEEE
14 years 2 months ago
An Online Analysis and Information Fusion Platform for Heterogeneous Biomedical Informatics Data
Current research in biomedical informatics involves analysis of multiple heterogeneous data sets. This includes patient demographics, clinical and pathology data, treatment histor...
Srivatsava Ranjit Ganta, Jyotsna Kasturi, John Gil...
GLOBECOM
2006
IEEE
14 years 3 months ago
Optimal Resource Allocation for Homogeneous Wireless Multicast
— Multicast-based data communication is an efficient communication scheme especially in multihop ad hoc networks where the MAC layer is based on one-hop broadcast from one sourc...
Amr M. Mohamed, Hussein M. Alnuweiri
HCI
2009
13 years 7 months ago
Mind-Mirror: EEG-Guided Image Evolution
Abstract. We propose a brain-computer interface (BCI) system for evolving images in realtime based on subject feedback derived from electroencephalography (EEG). The goal of this s...
Nima Bigdely Shamlo, Scott Makeig