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KDD
2004
ACM
113views Data Mining» more  KDD 2004»
16 years 7 months ago
Learning spatially variant dissimilarity (SVaD) measures
Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agra...
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
16 years 7 months ago
Exploiting unlabeled data in ensemble methods
An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...
Kristin P. Bennett, Ayhan Demiriz, Richard Maclin
CHI
2007
ACM
16 years 7 months ago
Engaging constable: revealing art with new technology
Museums increasingly deploy new technologies to enhance visitors' experience of their exhibitions. They primarily rely on touch-screen computer systems, PDAs and digital audi...
Dirk vom Lehn, Jon Hindmarsh, Paul Luff, Christian...
CHI
2005
ACM
16 years 7 months ago
eyeView: focus+context views for large group video conferences
In this paper, we describe the design of eyeView, a video conferencing system that uses participant looking behavior to determine the size of online video conferencing windows. Th...
Tracy Jenkin, Jesse McGeachie, David Fono, Roel Ve...
HPCA
2003
IEEE
16 years 7 months ago
Variability in Architectural Simulations of Multi-Threaded Workloads
Multi-threaded commercial workloads implement many important internet services. Consequently, these workloads are increasingly used to evaluate the performance of uniprocessor and...
Alaa R. Alameldeen, David A. Wood
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