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» A Generalization of Proximity Functions for K-Means
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SIAMJO
2010
127views more  SIAMJO 2010»
13 years 4 months ago
Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning
We consider a recently proposed optimization formulation of multi-task learning based on trace norm regularized least squares. While this problem may be formulated as a semidefini...
Ting Kei Pong, Paul Tseng, Shuiwang Ji, Jieping Ye
KDD
2002
ACM
170views Data Mining» more  KDD 2002»
14 years 10 months ago
On interactive visualization of high-dimensional data using the hyperbolic plane
: se the concept of visualizing general abstract data by intermediate projection into the hyperbolic space. Its favorable properties were reported earlier and led to the "hype...
Helge Ritter, Jörg A. Walter
HUC
2011
Springer
12 years 9 months ago
LightWave: using compact fluorescent lights as sensors
In this paper, we describe LightWave, a sensing approach that turns ordinary compact fluorescent light (CFL) bulbs into sensors of human proximity. Unmodified CFL bulbs are shown ...
Sidhant Gupta, Ke-Yu Chen, Matthew S. Reynolds, Sh...
JMLR
2011
167views more  JMLR 2011»
13 years 4 months ago
Logistic Stick-Breaking Process
A logistic stick-breaking process (LSBP) is proposed for non-parametric clustering of general spatially- or temporally-dependent data, imposing the belief that proximate data are ...
Lu Ren, Lan Du, Lawrence Carin, David B. Dunson
IPMU
2010
Springer
13 years 11 months ago
The Link Prediction Problem in Bipartite Networks
We define and study the link prediction problem in bipartite networks, specializing general link prediction algorithms to the bipartite case. In a graph, a link prediction functio...
Jérôme Kunegis, Ernesto William De Lu...