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» Clustering with Lower Bound on Similarity
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ICIP
2007
IEEE
15 years 6 months ago
Adaptive Cluster-Distance Bounding for Nearest Neighbor Search in Image Databases
We consider approaches for exact similarity search in a high dimensional space of correlated features representing image datasets, based on principles of clustering and vector qua...
Sharadh Ramaswamy, Kenneth Rose
SIROCCO
2008
15 years 1 months ago
On the Performance of Beauquier and Debas' Self-stabilizing Algorithm for Mutual Exclusion
In [Dij74] Dijkstra introduced the notion of self-stabilizing algorithms and presented an algorithm with three states for the problem of mutual exclusion on a ring of processors. ...
Viacheslav Chernoy, Mordechai Shalom, Shmuel Zaks
ALGORITHMICA
2005
108views more  ALGORITHMICA 2005»
14 years 11 months ago
How Fast Is the k-Means Method?
We present polynomial upper and lower bounds on the number of iterations performed by the k-means method (a.k.a. Lloyd's method) for k-means clustering. Our upper bounds are ...
Sariel Har-Peled, Bardia Sadri
ALT
2009
Springer
15 years 8 months ago
Agnostic Clustering
Motivated by the principle of agnostic learning, we present an extension of the model introduced by Balcan, Blum, and Gupta [3] on computing low-error clusterings. The extended mod...
Maria-Florina Balcan, Heiko Röglin, Shang-Hua...
ICALP
2009
Springer
15 years 12 months ago
Improved Bounds for Flow Shop Scheduling
We resolve an open question raised by Feige & Scheideler by showing that the best known approximation algorithm for flow shops is essentially tight with respect to the used low...
Monaldo Mastrolilli, Ola Svensson