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ICCV
2003
IEEE
15 years 20 days ago
Mean Shift Based Clustering in High Dimensions: A Texture Classification Example
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
Bogdan Georgescu, Ilan Shimshoni, Peter Meer
ADBIS
2007
Springer
256views Database» more  ADBIS 2007»
14 years 2 months ago
Adaptive k-Nearest-Neighbor Classification Using a Dynamic Number of Nearest Neighbors
Classification based on k-nearest neighbors (kNN classification) is one of the most widely used classification methods. The number k of nearest neighbors used for achieving a high ...
Stefanos Ougiaroglou, Alexandros Nanopoulos, Apost...
PDPTA
2010
13 years 8 months ago
Distributed Mobile Computing: Development of Distributed Applications Using Mobile Agents
There exist distributed scenarios in which the need for dynamism, mobility, and adaptivity, has to be addressed with highly dynamical approaches. These scenarios present different ...
Carlos Bobed, Sergio Ilarri, Eduardo Mena
DCC
2003
IEEE
14 years 10 months ago
Compression of RADARSAT Data with Block Adaptive Wavelets
: This paper proposes a new algorithm referred to as the Wavelet Packet-based Embedded Block coding (WPEB) scheme for SAR data compression. This algorithm combines the following pr...
Ian G. Cumming, Jing Wang
ICDCS
2005
IEEE
14 years 4 months ago
Optimal Component Composition for Scalable Stream Processing
Stream processing has become increasingly important with emergence of stream applications such as audio/video surveillance, stock price tracing, and sensor data analysis. A challe...
Xiaohui Gu, Philip S. Yu, Klara Nahrstedt