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SCHOLARPEDIA
2008
89views more  SCHOLARPEDIA 2008»
15 years 5 months ago
Support vector clustering
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur
JCNS
2010
104views more  JCNS 2010»
15 years 5 months ago
A new look at state-space models for neural data
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...
PVLDB
2010
149views more  PVLDB 2010»
15 years 5 months ago
GRAIL: Scalable Reachability Index for Large Graphs
Given a large directed graph, rapidly answering reachability queries between source and target nodes is an important problem. Existing methods for reachability trade-off indexing ...
Hilmi Yildirim, Vineet Chaoji, Mohammed Javeed Zak...
SIAMSC
2010
104views more  SIAMSC 2010»
15 years 5 months ago
A New Sobolev Gradient Method for Direct Minimization of the Gross--Pitaevskii Energy with Rotation
Abstract. In this paper we improve traditional steepest descent methods for the direct minimization of the Gross-Pitaevskii (GP) energy with rotation at two levels. We first defi...
Ionut Danaila, Parimah Kazemi
TALG
2010
74views more  TALG 2010»
15 years 5 months ago
Comparison-based time-space lower bounds for selection
We establish the first nontrivial lower bounds on timespace tradeoffs for the selection problem. We prove that any comparison-based randomized algorithm for finding the median ...
Timothy M. Chan