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ICCV
2011
IEEE
12 years 7 months ago
Object Segmentation in Video: A Hierarchical Variational Approach for Turning Point Trajectories into Dense Regions
Point trajectories have emerged as a powerful means to obtain high quality and fully unsupervised segmentation of objects in video shots. They can exploit the long term motion dif...
Peter Ochs, Thomas Brox
ICDM
2006
IEEE
100views Data Mining» more  ICDM 2006»
14 years 1 months ago
Meta Clustering
Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, ...
WCRE
2008
IEEE
14 years 1 months ago
PREREQIR: Recovering Pre-Requirements via Cluster Analysis
High-level software artifacts, such as requirements, domain-specific requirements, and so on, are an important source of information that is often neglected during the reverse- an...
Jane Huffman Hayes, Giuliano Antoniol, Yann-Ga&eum...
PG
1999
IEEE
13 years 11 months ago
Automatic Creation of Object Hierarchies for Radiosity Clustering
Using object clusters for hierarchical radiosity greatly improves the efficiency and thus usability of radiosity computations. By eliminating the quadratic starting phase very lar...
Gordon Müller, Stephan Schäfer, Dieter W...
CORR
1999
Springer
81views Education» more  CORR 1999»
13 years 7 months ago
Inducing a Semantically Annotated Lexicon via EM-Based Clustering
We present a technique for automatic induction of slot annotations for subcategorization frames, based on induction of hidden classes in the EM framework of statistical estimation...
Mats Rooth, Stefan Riezler, Detlef Prescher, Glenn...