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DAGM
2004
Springer
16 years 22 hour ago
Scale-Invariant Object Categorization Using a Scale-Adaptive Mean-Shift Search
The goal of our work is object categorization in real-world scenes. That is, given a novel image we want to recognize and localize unseen-before objects based on their similarity t...
Bastian Leibe, Bernt Schiele
WEA
2004
Springer
129views Algorithms» more  WEA 2004»
15 years 12 months ago
Experimental Comparison of Greedy Randomized Adaptive Search Procedures for the Maximum Diversity Problem
Abstract. The maximum diversity problem (MDP) consists of identifying optimally diverse subsets of elements from some larger collection. The selection of elements is based on the d...
Geiza C. Silva, Luiz Satoru Ochi, Simone L. Martin...
NCA
2003
IEEE
15 years 12 months ago
Adaptive Use of Network-Centric Mechanisms in Cyber-Defense
Attacks against distributed systems frequently start at the network layer by gathering network related information (such as open TCP ports) and continue on by exhausting resources...
Michael Atighetchi, Partha Pratim Pal, Franklin We...
ICDM
2002
IEEE
158views Data Mining» more  ICDM 2002»
15 years 11 months ago
Adaptive dimension reduction for clustering high dimensional data
It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...
Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst...
CDC
2009
IEEE
150views Control Systems» more  CDC 2009»
15 years 11 months ago
Cooperative adaptive sampling via approximate entropy maximization
— This work deals with a group of mobile sensors sampling a spatiotemporal random field whose mean is unknown and covariance is known up to a scaling parameter. The Bayesian pos...
Rishi Graham, Jorge Cortés