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KDD
2006
ACM
180views Data Mining» more  KDD 2006»
14 years 8 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
MIR
2010
ACM
167views Multimedia» more  MIR 2010»
14 years 2 months ago
Improving automatic music classification performance by extracting features from different types of data
This paper discusses two sets of automatic musical genre classification experiments. Promising research directions are then proposed based on the results of these experiments. The...
Cory McKay, Ichiro Fujinaga
CHI
2007
ACM
14 years 8 months ago
Studying activity patterns in CSCW
We study small distributed work groups capturing, managing, and reusing knowledge in a collaborative activity. We conceive this process as adaptation of a group to an activity and...
Gregorio Convertino, Thomas P. Moran, Barton A. Sm...
FPL
2010
Springer
108views Hardware» more  FPL 2010»
13 years 5 months ago
FPGA Based Network Traffic Analysis Using Traffic Dispersion Patterns
The problem of Network Traffic Classification (NTC) has attracted significant amount of interest in the research community, offering a wide range of solutions at various levels. Th...
Faisal Khan, Maya Gokhale, Chen-Nee Chuah
EVOW
2008
Springer
13 years 9 months ago
Evolving an Automatic Defect Classification Tool
Automatic Defect Classification (ADC) is a well-developed technology for inspection and measurement of defects on patterned wafers in the semiconductors industry. The poor training...
Assaf Glazer, Moshe Sipper