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» Solution Methods for a New Class of Simple Model Neurons
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SIGIR
2005
ACM
14 years 27 days ago
A database centric view of semantic image annotation and retrieval
We introduce a new model for semantic annotation and retrieval from image databases. The new model is based on a probabilistic formulation that poses annotation and retrieval as c...
Gustavo Carneiro, Nuno Vasconcelos
BMVC
2010
13 years 5 months ago
Multi-class Boosting for Early Classification of Sequences
We propose a new boosting algorithm for sequence classification, in particular one that enables early classification of multiple classes. In many practical problems, we would like...
Katsuhiko Ishiguro, Hiroshi Sawada, Hitoshi Sakano
SIGGRAPH
1993
ACM
13 years 11 months ago
Interval methods for multi-point collisions between time-dependent curved surfaces
We present an efficient and robust algorithm for finding points of collision between time-dependent parametric and implicit surfaces. The algorithm detects simultaneous collisio...
John M. Snyder, Adam R. Woodbury, Kurt W. Fleische...
ICASSP
2011
IEEE
12 years 11 months ago
Angular regularization of vector-valued signals
—A new class of pair-wise regularizers is proposed for vector-valued signals, including several new regularizers that penalize the angular difference between neighboring vectors....
Kevin M. Holt
CVPR
2004
IEEE
14 years 9 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic