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SDM
2009
SIAM
225views Data Mining» more  SDM 2009»
14 years 6 months ago
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
Fei Wang, Chris H. Q. Ding, Tao Li
SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
14 years 6 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
FOIKS
2008
Springer
14 years 6 months ago
Cost-minimising strategies for data labelling : optimal stopping and active learning
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Christos Dimitrakakis, Christian Savu-Krohn
ALT
2009
Springer
14 years 6 months ago
Approximation Algorithms for Tensor Clustering
Abstract. We present the first (to our knowledge) approximation algorithm for tensor clustering—a powerful generalization to basic 1D clustering. Tensors are increasingly common...
Stefanie Jegelka, Suvrit Sra, Arindam Banerjee
ICCAD
2007
IEEE
88views Hardware» more  ICCAD 2007»
14 years 6 months ago
Extending systems-on-chip to the third dimension: performance, cost and technological tradeoffs
Abstract—Because of the today’s market demand for highperformance, high-density portable hand-held applications, electronic system design technology has shifted the focus from ...
Roshan Weerasekera, Li-Rong Zheng, Dinesh Pamunuwa...