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» Multiple Object Class Detection with a Generative Model
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IJCAI
2007
15 years 6 months ago
r-grams: Relational Grams
We introduce relational grams (r-grams). They upgrade n-grams for modeling relational sequences of atoms. As n-grams, r-grams are based on smoothed n-th order Markov chains. Smoot...
Niels Landwehr, Luc De Raedt
ICDM
2006
IEEE
109views Data Mining» more  ICDM 2006»
15 years 11 months ago
Star-Structured High-Order Heterogeneous Data Co-clustering Based on Consistent Information Theory
Heterogeneous object co-clustering has become an important research topic in data mining. In early years of this research, people mainly worked on two types of heterogeneous data ...
Bin Gao, Tie-Yan Liu, Wei-Ying Ma
SIGGRAPH
1998
ACM
15 years 9 months ago
Subdivision Surfaces in Character Animation
The creation of believable and endearing characters in computer graphics presents a number of technical challenges, including the modeling, animation and rendering of complex shap...
Tony DeRose, Michael Kass, Tien Truong
151
Voted
IJCV
2008
167views more  IJCV 2008»
15 years 5 months ago
Learning Layered Motion Segmentations of Video
We present an unsupervised approach for learning a generative layered representation of a scene from a video for motion segmentation. The learnt model is a composition of layers, ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
RECOMB
2006
Springer
16 years 5 months ago
Detecting MicroRNA Targets by Linking Sequence, MicroRNA and Gene Expression Data
MicroRNAs (miRNAs) have recently been discovered as an important class of non-coding RNA genes that play a major role in regulating gene expression, providing a means to control th...
Jim C. Huang, Quaid Morris, Brendan J. Frey