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» Kernels and Regularization on Graphs
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112
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PAMI
2006
117views more  PAMI 2006»
15 years 21 days ago
Metric Learning for Text Documents
High dimensional structured data such as text and images is often poorly understood and misrepresented in statistical modeling. The standard histogram representation suffers from ...
Guy Lebanon
DAC
2006
ACM
16 years 1 months ago
Exploring trade-offs in buffer requirements and throughput constraints for synchronous dataflow graphs
Multimedia applications usually have throughput constraints. An implementation must meet these constraints, while it minimizes resource usage and energy consumption. The compute i...
Sander Stuijk, Marc Geilen, Twan Basten
73
Voted
ICPR
2008
IEEE
15 years 7 months ago
Graph-based semi-supervised learning with redundant views
In this paper, we propose a novel semi-supervised algorithm, which works under a two-view setting. Our algorithm, named Kernel Canonical Component Analysis Graph (KC-GRAPH), can e...
Yun-Chao Gong, Chuanliang Chen, Yingjie Tian
151
Voted
ECCV
2010
Springer
15 years 29 days ago
Superpixels and Supervoxels in an Energy Optimization Framework
Many methods for object recognition, segmentation, etc., rely on tessellation of an image into "superpixels". A superpixel is an image patch which is better aligned with ...
Olga Veksler, Yuri Boykov, Paria Mehrani
130
Voted
PPOPP
2009
ACM
16 years 1 months ago
Comparability graph coloring for optimizing utilization of stream register files in stream processors
A stream processor executes an application that has been decomposed into a sequence of kernels that operate on streams of data elements. During the execution of a kernel, all stre...
Xuejun Yang, Li Wang, Jingling Xue, Yu Deng, Ying ...