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KDD
2002
ACM
197views Data Mining» more  KDD 2002»
16 years 5 months ago
SimRank: a measure of structural-context similarity
The problem of measuring "similarity" of objects arises in many applications, and many domain-specific measures have been developed, e.g., matching text across documents...
Glen Jeh, Jennifer Widom
CVPR
2008
IEEE
16 years 7 months ago
Incremental learning of nonparametric Bayesian mixture models
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
Ryan Gomes, Max Welling, Pietro Perona
AI
1999
Springer
15 years 4 months ago
Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning a
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
Minoru Asada, Eiji Uchibe, Koh Hosoda
DAC
2008
ACM
16 years 6 months ago
Path smoothing via discrete optimization
A fundamental problem in timing-driven physical synthesis is the reduction of critical paths in a design. In this work, we propose a powerful new technique that moves (and can als...
Michael D. Moffitt, David A. Papa, Zhuo Li, Charle...
CVPR
2012
IEEE
13 years 7 months ago
Linear solution to scale invariant global figure ground separation
We propose a novel linear method for scale invariant figure ground separation in images and videos. Figure ground separation is treated as a superpixel labeling problem. We optim...
Hao Jiang