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» Identifying Objects Using Cluster and Concept Analysis
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KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 6 months ago
Flexible constrained spectral clustering
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Xiang Wang, Ian Davidson
CVPR
2010
IEEE
15 years 7 months ago
Object Separation In X-Ray Image Sets
In the segmentation of natural images, most algorithms rely on the concept of occlusion. In x-ray images, however, this assumption is violated, since x-ray photons penetrate most ...
Geremy Heitz, Gal Chechik
IFM
2004
Springer
185views Formal Methods» more  IFM 2004»
15 years 8 months ago
Object-Oriented Modelling with High-Level Modular Petri Nets
Abstract. In this paper, we address the problem of expressing objectoriented concepts in terms of Petri nets. This is interesting, first, as a possibility of representing concurre...
Cécile Bui Thanh, Hanna Klaudel
CHI
2008
ACM
15 years 5 months ago
Word usage and posting behaviors: modeling blogs with unobtrusive data collection methods
We present a large-scale analysis of the content of weblogs dating back to the release of the Blogger program in 1999. Over one million blogs were analyzed from their conception t...
Adam D. I. Kramer, Kerry Rodden
WCET
2010
15 years 1 months ago
Hybrid measurement-based WCET analysis at the source level using object-level traces
Hybrid measurement-based approaches to worst-case execution time (WCET) analysis combine measured execution times of small program segments using static analysis of the larger sof...
Adam Betts, Nicholas Merriam, Guillem Bernat