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159
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CANDC
2009
ACM
16 years 1 months ago
A sub-symbolic model of the cognitive processes of re-representation and insight
We present a sub-symbolic computational model for effecting knowledge re-representation and insight. Given a set of data, manifold learning is used to automatically organize the d...
Dan Ventura
205
Voted
MMM
2007
Springer
176views Multimedia» more  MMM 2007»
16 years 1 months ago
An Efficient Automatic Video Shot Size Annotation Scheme
Abstract. This paper presents an efficient learning scheme for automatic annotation of video shot size. Instead of existing methods that applied in sports videos using domain knowl...
Meng Wang, Xian-Sheng Hua, Yan Song, Wei Lai, Li-R...
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
16 years 1 months ago
Discovering event evidence amid massive, dynamic datasets
Automated event extraction remains a very difficult challenge requiring information analysts to manually identify key events of interest within massive, dynamic data. Many techniq...
Robert M. Patton, Thomas E. Potok
168
Voted
COLT
2004
Springer
16 years 8 days ago
Regularization and Semi-supervised Learning on Large Graphs
We consider the problem of labeling a partially labeled graph. This setting may arise in a number of situations from survey sampling to information retrieval to pattern recognition...
Mikhail Belkin, Irina Matveeva, Partha Niyogi
IWPEC
2004
Springer
16 years 7 days ago
A Structural View on Parameterizing Problems: Distance from Triviality
Based on a series of known and new examples, we propose the generalized setting of “distance from triviality” measurement as a reasonable and prospective way of determining use...
Jiong Guo, Falk Hüffner, Rolf Niedermeier