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ICCV
2003
IEEE
16 years 8 months 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
MICCAI
2009
Springer
16 years 7 months ago
Building Shape Models from Lousy Data
Statistical shape models have gained widespread use in medical image analysis. In order for such models to be statistically meaningful, a large number of data sets have to be inclu...
Marcel Lüthi, Thomas Albrecht, Thomas Vetter
KDD
2004
ACM
151views Data Mining» more  KDD 2004»
16 years 6 months ago
Feature selection in scientific applications
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
Erick Cantú-Paz, Shawn Newsam, Chandrika Ka...
159
Voted
CHI
2004
ACM
16 years 6 months ago
Breaking the book: translating the chemistry lab book into a pervasive computing lab environment
The UK e-Science programme is relying on the evolution of the paper lab book into a pervasive data gathering lab system. To date take up of existing commercial or research lab boo...
Monica M. C. Schraefel, Gareth V. Hughes, Hugo R. ...
211
Voted
ICAC
2009
IEEE
16 years 1 months ago
Threat-model-driven runtime adaptation and evaluation of intrusion detection system
We present a mechanism for autonomous self-adaptation of a network-based intrusion detection system (IDS). The system is composed of a set of cooperating agents, each of which is ...
Martin Rehák, Eugen Staab, Volker Fusenig, ...