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SIGMOD
2008
ACM
215views Database» more  SIGMOD 2008»
16 years 2 months ago
CSV: visualizing and mining cohesive subgraphs
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...
Nan Wang, Srinivasan Parthasarathy, Kian-Lee Tan, ...
MIR
2006
ACM
157views Multimedia» more  MIR 2006»
15 years 8 months ago
Generating summaries and visualization for large collections of geo-referenced photographs
We describe a framework for automatically selecting a summary set of photos from a large collection of geo-referenced photographs. Such large collections are inherently difficult ...
Alexander Jaffe, Mor Naaman, Tamir Tassa, Marc Dav...
NIPS
2004
15 years 3 months ago
Using Machine Learning to Break Visual Human Interaction Proofs (HIPs)
Machine learning is often used to automatically solve human tasks. In this paper, we look for tasks where machine learning algorithms are not as good as humans with the hope of ga...
Kumar Chellapilla, Patrice Y. Simard
124
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NIPS
2004
15 years 3 months ago
Incremental Learning for Visual Tracking
Most existing tracking algorithms construct a representation of a target object prior to the tracking task starts, and utilize invariant features to handle appearance variation of...
Jongwoo Lim, David A. Ross, Ruei-Sung Lin, Ming-Hs...
ICIP
2001
IEEE
16 years 4 months ago
Visual tracking of jellyfish in situ
Marine biologists desire an automated system for observing gelatinous zooplankton. This study represents the first attempt at real-time robotic tracking of a gelatinous animal in ...
Jason Rife, Stephen M. Rock