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» Structural Modelling with Sparse Kernels
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SIAMJO
2011
14 years 4 months ago
Recovering Low-Rank and Sparse Components of Matrices from Incomplete and Noisy Observations
Many applications arising in a variety of fields can be well illustrated by the task of recovering the low-rank and sparse components of a given matrix. Recently, it is discovered...
Min Tao, Xiaoming Yuan
WACV
2005
IEEE
15 years 3 months ago
Image Segmentation by Unsupervised Sparse Clustering
In this paper, we present a novel solution of image segmentation based on positiveness by regarding the segmentation as one of the graph-theoretic clustering problems. On the cont...
Byoung-Ki Jeon, Yun-Beom Jung, Ki-Sang Hong
NIPS
1998
14 years 11 months ago
Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage
Adaptive Ridge is a special form of Ridge regression, balancing the quadratic penalization on each parameter of the model. It was shown to be equivalent to Lasso (least absolute s...
Yves Grandvalet, Stéphane Canu
IJCV
2008
266views more  IJCV 2008»
14 years 10 months ago
Learning to Recognize Objects with Little Supervision
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...
Peter Carbonetto, Gyuri Dorkó, Cordelia Sch...
ADBIS
2005
Springer
120views Database» more  ADBIS 2005»
15 years 3 months ago
Extensible Canonical Process Model Synthesis Applying Formal Interpretation
The current period of IT development is characterized by an explosive growth of diverse information representation languages. Applying integration and composition of heterogeneous ...
Leonid A. Kalinichenko, Sergey A. Stupnikov, Nikol...