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137
Voted
CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
94
Voted
WWW
2008
ACM
16 years 3 months ago
2008
ACM
We consider the problem of segmenting a webpage into visually and semantically cohesive pieces. Our approach is based on formulating an appropriate optimization problem on weighte...
174
Voted
SBRN
2008
IEEE
15 years 8 months ago
2008
IEEE
In automated multi-label text categorization, an automatic categorization system should output a category set, whose size is unknown a priori, for each document under analysis. Ma...
132
Voted
CIA
2007
Springer
15 years 8 months ago
2007
Springer
In this paper, we propose a probabilistic framework targeting three important issues in the computation of quality and trust in decentralized systems. Specifically, our approach a...
118
Voted
CIKM
2007
Springer
15 years 8 months ago
2007
Springer
Several problems in text categorization are too hard to be solved by standard bag-of-words representations. Work in kernel-based learning has approached this problem by (i) consid...