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ISNN
2011
Springer
14 years 9 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
NOSSDAV
2011
Springer
14 years 9 months ago
The impact of inter-layer network coding on the relative performance of MRC/MDC WiFi media delivery
A primary challenge in multicasting video in a wireless LAN is to deal with the client diversity – clients may have different channel characteristics and hence receive different...
Rohan Gandhi, Meilin Yang, Dimitrios Koutsonikolas...
PROCEDIA
2011
14 years 9 months ago
GPU-accelerated Chemical Similarity Assessment for Large Scale Databases
The assessment of chemical similarity between molecules is a basic operation in chemoinformatics, a computational area concerning with the manipulation of chemical structural info...
Marco Maggioni, Marco D. Santambrogio, Jie Liang
SIGMOD
2011
ACM
269views Database» more  SIGMOD 2011»
14 years 9 months ago
Advancing data clustering via projective clustering ensembles
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...
Francesco Gullo, Carlotta Domeniconi, Andrea Tagar...
ATAL
2011
Springer
14 years 6 months ago
Quality-bounded solutions for finite Bayesian Stackelberg games: scaling up
The fastest known algorithm for solving General Bayesian Stackelberg games with a finite set of follower (adversary) types have seen direct practical use at the LAX airport for o...
Manish Jain, Christopher Kiekintveld, Milind Tambe