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NIPS
2007
15 years 7 months ago
DIFFRAC: a discriminative and flexible framework for clustering
We present a novel linear clustering framework (DIFFRAC) which relies on a linear discriminative cost function and a convex relaxation of a combinatorial optimization problem. The...
Francis Bach, Zaïd Harchaoui
171
Voted
NIPS
2001
15 years 7 months ago
Spectral Relaxation for K-means Clustering
The popular K-means clustering partitions a data set by minimizing a sum-of-squares cost function. A coordinate descend method is then used to nd local minima. In this paper we sh...
Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming ...
111
Voted
IJSS
2007
77views more  IJSS 2007»
15 years 6 months ago
Network-centric healthcare operations: data warehousing and the associated telecommunications platforms
: With the rapidly escalating costs, the EU and the US make the adoption and application of Information, Computer and Communication Technologies (ICCT) in healthcare (e-health) an ...
Dag Von Lubitz, Frédéric Patricelli
NIPS
1994
15 years 7 months ago
From Data Distributions to Regularization in Invariant Learning
Ideally pattern recognition machines provide constant output when the inputs are transformed under a group G of desired invariances. These invariances can be achieved by enhancing...
Todd K. Leen
NIPS
1996
15 years 7 months ago
Early Brain Damage
Optimal Brain Damage (OBD) is a method for reducing the number of weights in a neural network. OBD estimates the increase in cost function if weights are pruned and is a valid app...
Volker Tresp, Ralph Neuneier, Hans-Georg Zimmerman...