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ICML
2004
IEEE
16 years 5 months ago
SVM-based generalized multiple-instance learning via approximate box counting
The multiple-instance learning (MIL) model has been very successful in application areas such as drug discovery and content-based imageretrieval. Recently, a generalization of thi...
Qingping Tao, Stephen D. Scott, N. V. Vinodchandra...
KDD
2006
ACM
163views Data Mining» more  KDD 2006»
16 years 4 months ago
New EM derived from Kullback-Leibler divergence
We introduce a new EM framework in which it is possible not only to optimize the model parameters but also the number of model components. A key feature of our approach is that we...
Longin Jan Latecki, Marc Sobel, Rolf Lakämper
HPCA
2006
IEEE
16 years 4 months ago
Dynamic power-performance adaptation of parallel computation on chip multiprocessors
Previous proposals for power-aware thread-level parallelism on chip multiprocessors (CMPs) mostly focus on multiprogrammed workloads. Nonetheless, parallel computation of a single...
Jian Li, José F. Martínez
ICSE
2003
IEEE-ACM
16 years 4 months ago
Stemming Architectural Erosion by Coupling Architectural Discovery and Recovery
Ideally, a software project commences with requirements gathering and specification, reaches its major milestone with system implementation and delivery, and then continues, possi...
Alexander Egyed, Nenad Medvidovic, Paul Grünb...
PAKDD
2009
ACM
209views Data Mining» more  PAKDD 2009»
16 years 1 months ago
Approximate Spectral Clustering.
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...